Searching for "data mining"

IRDL proposal

Applications for the 2018 Institute will be accepted between December 1, 2017 and January 27, 2018. Scholars accepted to the program will be notified in early March 2018.

Title:

Learning to Harness Big Data in an Academic Library

Abstract (200)

Research on Big Data per se, as well as on the importance and organization of the process of Big Data collection and analysis, is well underway. The complexity of the process comprising “Big Data,” however, deprives organizations of ubiquitous “blue print.” The planning, structuring, administration and execution of the process of adopting Big Data in an organization, being that a corporate one or an educational one, remains an elusive one. No less elusive is the adoption of the Big Data practices among libraries themselves. Seeking the commonalities and differences in the adoption of Big Data practices among libraries may be a suitable start to help libraries transition to the adoption of Big Data and restructuring organizational and daily activities based on Big Data decisions.
Introduction to the problem. Limitations

The redefinition of humanities scholarship has received major attention in higher education. The advent of digital humanities challenges aspects of academic librarianship. Data literacy is a critical need for digital humanities in academia. The March 2016 Library Juice Academy Webinar led by John Russel exemplifies the efforts to help librarians become versed in obtaining programming skills, and respectively, handling data. Those are first steps on a rather long path of building a robust infrastructure to collect, analyze, and interpret data intelligently, so it can be utilized to restructure daily and strategic activities. Since the phenomenon of Big Data is young, there is a lack of blueprints on the organization of such infrastructure. A collection and sharing of best practices is an efficient approach to establishing a feasible plan for setting a library infrastructure for collection, analysis, and implementation of Big Data.
Limitations. This research can only organize the results from the responses of librarians and research into how libraries present themselves to the world in this arena. It may be able to make some rudimentary recommendations. However, based on each library’s specific goals and tasks, further research and work will be needed.

 

 

Research Literature

“Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it…”
– Dan Ariely, 2013  https://www.asist.org/publications/bulletin/aprilmay-2017/big-datas-impact-on-privacy-for-librarians-and-information-professionals/

Big Data is becoming an omnipresent term. It is widespread among different disciplines in academia (De Mauro, Greco, & Grimaldi, 2016). This leads to “inconsistency in meanings and necessity for formal definitions” (De Mauro et al, 2016, p. 122). Similarly, to De Mauro et al (2016), Hashem, Yaqoob, Anuar, Mokhtar, Gani and Ullah Khan (2015) seek standardization of definitions. The main connected “themes” of this phenomenon must be identified and the connections to Library Science must be sought. A prerequisite for a comprehensive definition is the identification of Big Data methods. Bughin, Chui, Manyika (2011), Chen et al. (2012) and De Mauro et al (2015) single out the methods to complete the process of building a comprehensive definition.

In conjunction with identifying the methods, volume, velocity, and variety, as defined by Laney (2001), are the three properties of Big Data accepted across the literature. Daniel (2015) defines three stages in big data: collection, analysis, and visualization. According to Daniel, (2015), Big Data in higher education “connotes the interpretation of a wide range of administrative and operational data” (p. 910) and according to Hilbert (2013), as cited in Daniel (2015), Big Data “delivers a cost-effective prospect to improve decision making” (p. 911).

The importance of understanding the process of Big Data analytics is well understood in academic libraries. An example of such “administrative and operational” use for cost-effective improvement of decision making are the Finch & Flenner (2016) and Eaton (2017) case studies of the use of data visualization to assess an academic library collection and restructure the acquisition process. Sugimoto, Ding & Thelwall (2012) call for the discussion of Big Data for libraries. According to the 2017 NMC Horizon Report “Big Data has become a major focus of academic and research libraries due to the rapid evolution of data mining technologies and the proliferation of data sources like mobile devices and social media” (Adams, Becker, et al., 2017, p. 38).

Power (2014) elaborates on the complexity of Big Data in regard to decision-making and offers ideas for organizations on building a system to deal with Big Data. As explained by Boyd and Crawford (2012) and cited in De Mauro et al (2016), there is a danger of a new digital divide among organizations with different access and ability to process data. Moreover, Big Data impacts current organizational entities in their ability to reconsider their structure and organization. The complexity of institutions’ performance under the impact of Big Data is further complicated by the change of human behavior, because, arguably, Big Data affects human behavior itself (Schroeder, 2014).

De Mauro et al (2015) touch on the impact of Dig Data on libraries. The reorganization of academic libraries considering Big Data and the handling of Big Data by libraries is in a close conjunction with the reorganization of the entire campus and the handling of Big Data by the educational institution. In additional to the disruption posed by the Big Data phenomenon, higher education is facing global changes of economic, technological, social, and educational character. Daniel (2015) uses a chart to illustrate the complexity of these global trends. Parallel to the Big Data developments in America and Asia, the European Union is offering access to an EU open data portal (https://data.europa.eu/euodp/home ). Moreover, the Association of European Research Libraries expects under the H2020 program to increase “the digitization of cultural heritage, digital preservation, research data sharing, open access policies and the interoperability of research infrastructures” (Reilly, 2013).

The challenges posed by Big Data to human and social behavior (Schroeder, 2014) are no less significant to the impact of Big Data on learning. Cohen, Dolan, Dunlap, Hellerstein, & Welton (2009) propose a road map for “more conservative organizations” (p. 1492) to overcome their reservations and/or inability to handle Big Data and adopt a practical approach to the complexity of Big Data. Two Chinese researchers assert deep learning as the “set of machine learning techniques that learn multiple levels of representation in deep architectures (Chen & Lin, 2014, p. 515). Deep learning requires “new ways of thinking and transformative solutions (Chen & Lin, 2014, p. 523). Another pair of researchers from China present a broad overview of the various societal, business and administrative applications of Big Data, including a detailed account and definitions of the processes and tools accompanying Big Data analytics.  The American counterparts of these Chinese researchers are of the same opinion when it comes to “think about the core principles and concepts that underline the techniques, and also the systematic thinking” (Provost and Fawcett, 2013, p. 58). De Mauro, Greco, and Grimaldi (2016), similarly to Provost and Fawcett (2013) draw attention to the urgent necessity to train new types of specialists to work with such data. As early as 2012, Davenport and Patil (2012), as cited in Mauro et al (2016), envisioned hybrid specialists able to manage both technological knowledge and academic research. Similarly, Provost and Fawcett (2013) mention the efforts of “academic institutions scrambling to put together programs to train data scientists” (p. 51). Further, Asomoah, Sharda, Zadeh & Kalgotra (2017) share a specific plan on the design and delivery of a big data analytics course. At the same time, librarians working with data acknowledge the shortcomings in the profession, since librarians “are practitioners first and generally do not view usability as a primary job responsibility, usually lack the depth of research skills needed to carry out a fully valid” data-based research (Emanuel, 2013, p. 207).

Borgman (2015) devotes an entire book to data and scholarly research and goes beyond the already well-established facts regarding the importance of Big Data, the implications of Big Data and the technical, societal, and educational impact and complications posed by Big Data. Borgman elucidates the importance of knowledge infrastructure and the necessity to understand the importance and complexity of building such infrastructure, in order to be able to take advantage of Big Data. In a similar fashion, a team of Chinese scholars draws attention to the complexity of data mining and Big Data and the necessity to approach the issue in an organized fashion (Wu, Xhu, Wu, Ding, 2014).

Bruns (2013) shifts the conversation from the “macro” architecture of Big Data, as focused by Borgman (2015) and Wu et al (2014) and ponders over the influx and unprecedented opportunities for humanities in academia with the advent of Big Data. Does the seemingly ubiquitous omnipresence of Big Data mean for humanities a “railroading” into “scientificity”? How will research and publishing change with the advent of Big Data across academic disciplines?

Reyes (2015) shares her “skinny” approach to Big Data in education. She presents a comprehensive structure for educational institutions to shift “traditional” analytics to “learner-centered” analytics (p. 75) and identifies the participants in the Big Data process in the organization. The model is applicable for library use.

Being a new and unchartered territory, Big Data and Big Data analytics can pose ethical issues. Willis (2013) focusses on Big Data application in education, namely the ethical questions for higher education administrators and the expectations of Big Data analytics to predict students’ success.  Daries, Reich, Waldo, Young, and Whittinghill (2014) discuss rather similar issues regarding the balance between data and student privacy regulations. The privacy issues accompanying data are also discussed by Tene and Polonetsky, (2013).

Privacy issues are habitually connected to security and surveillance issues. Andrejevic and Gates (2014) point out in a decision making “generated by data mining, the focus is not on particular individuals but on aggregate outcomes” (p. 195). Van Dijck (2014) goes into further details regarding the perils posed by metadata and data to the society, in particular to the privacy of citizens. Bail (2014) addresses the same issue regarding the impact of Big Data on societal issues, but underlines the leading roles of cultural sociologists and their theories for the correct application of Big Data.

Library organizations have been traditional proponents of core democratic values such as protection of privacy and elucidation of related ethical questions (Miltenoff & Hauptman, 2005). In recent books about Big Data and libraries, ethical issues are important part of the discussion (Weiss, 2018). Library blogs also discuss these issues (Harper & Oltmann, 2017). An academic library’s role is to educate its patrons about those values. Sugimoto et al (2012) reflect on the need for discussion about Big Data in Library and Information Science. They clearly draw attention to the library “tradition of organizing, managing, retrieving, collecting, describing, and preserving information” (p.1) as well as library and information science being “a historically interdisciplinary and collaborative field, absorbing the knowledge of multiple domains and bringing the tools, techniques, and theories” (p. 1). Sugimoto et al (2012) sought a wide discussion among the library profession regarding the implications of Big Data on the profession, no differently from the activities in other fields (e.g., Wixom, Ariyachandra, Douglas, Goul, Gupta, Iyer, Kulkami, Mooney, Phillips-Wren, Turetken, 2014). A current Andrew Mellon Foundation grant for Visualizing Digital Scholarship in Libraries seeks an opportunity to view “both macro and micro perspectives, multi-user collaboration and real-time data interaction, and a limitless number of visualization possibilities – critical capabilities for rapidly understanding today’s large data sets (Hwangbo, 2014).

The importance of the library with its traditional roles, as described by Sugimoto et al (2012) may continue, considering the Big Data platform proposed by Wu, Wu, Khabsa, Williams, Chen, Huang, Tuarob, Choudhury, Ororbia, Mitra, & Giles (2014). Such platforms will continue to emerge and be improved, with librarians as the ultimate drivers of such platforms and as the mediators between the patrons and the data generated by such platforms.

Every library needs to find its place in the large organization and in society in regard to this very new and very powerful phenomenon called Big Data. Libraries might not have the trained staff to become a leader in the process of organizing and building the complex mechanism of this new knowledge architecture, but librarians must educate and train themselves to be worthy participants in this new establishment.

 

Method

 

The study will be cleared by the SCSU IRB.
The survey will collect responses from library population and it readiness to use and use of Big Data.  Send survey URL to (academic?) libraries around the world.

Data will be processed through SPSS. Open ended results will be processed manually. The preliminary research design presupposes a mixed method approach.

The study will include the use of closed-ended survey response questions and open-ended questions.  The first part of the study (close ended, quantitative questions) will be completed online through online survey. Participants will be asked to complete the survey using a link they receive through e-mail.

Mixed methods research was defined by Johnson and Onwuegbuzie (2004) as “the class of research where the researcher mixes or combines quantitative and qualitative research techniques, methods, approaches, concepts, or language into a single study” (Johnson & Onwuegbuzie, 2004 , p. 17).  Quantitative and qualitative methods can be combined, if used to complement each other because the methods can measure different aspects of the research questions (Sale, Lohfeld, & Brazil, 2002).

 

Sampling design

 

  • Online survey of 10-15 question, with 3-5 demographic and the rest regarding the use of tools.
  • 1-2 open-ended questions at the end of the survey to probe for follow-up mixed method approach (an opportunity for qualitative study)
  • data analysis techniques: survey results will be exported to SPSS and analyzed accordingly. The final survey design will determine the appropriate statistical approach.

 

Project Schedule

 

Complete literature review and identify areas of interest – two months

Prepare and test instrument (survey) – month

IRB and other details – month

Generate a list of potential libraries to distribute survey – month

Contact libraries. Follow up and contact again, if necessary (low turnaround) – month

Collect, analyze data – two months

Write out data findings – month

Complete manuscript – month

Proofreading and other details – month

 

Significance of the work 

While it has been widely acknowledged that Big Data (and its handling) is changing higher education (https://blog.stcloudstate.edu/ims?s=big+data) as well as academic libraries (https://blog.stcloudstate.edu/ims/2016/03/29/analytics-in-education/), it remains nebulous how Big Data is handled in the academic library and, respectively, how it is related to the handling of Big Data on campus. Moreover, the visualization of Big Data between units on campus remains in progress, along with any policymaking based on the analysis of such data (hence the need for comprehensive visualization).

 

This research will aim to gain an understanding on: a. how librarians are handling Big Data; b. how are they relating their Big Data output to the campus output of Big Data and c. how librarians in particular and campus administration in general are tuning their practices based on the analysis.

Based on the survey returns (if there is a statistically significant return), this research might consider juxtaposing the practices from academic libraries, to practices from special libraries (especially corporate libraries), public and school libraries.

 

 

References:

 

Adams Becker, S., Cummins M, Davis, A., Freeman, A., Giesinger Hall, C., Ananthanarayanan, V., … Wolfson, N. (2017). NMC Horizon Report: 2017 Library Edition.

Andrejevic, M., & Gates, K. (2014). Big Data Surveillance: Introduction. Surveillance & Society, 12(2), 185–196.

Asamoah, D. A., Sharda, R., Hassan Zadeh, A., & Kalgotra, P. (2017). Preparing a Data Scientist: A Pedagogic Experience in Designing a Big Data Analytics Course. Decision Sciences Journal of Innovative Education, 15(2), 161–190. https://doi.org/10.1111/dsji.12125

Bail, C. A. (2014). The cultural environment: measuring culture with big data. Theory and Society, 43(3–4), 465–482. https://doi.org/10.1007/s11186-014-9216-5

Borgman, C. L. (2015). Big Data, Little Data, No Data: Scholarship in the Networked World. MIT Press.

Bruns, A. (2013). Faster than the speed of print: Reconciling ‘big data’ social media analysis and academic scholarship. First Monday, 18(10). Retrieved from http://firstmonday.org/ojs/index.php/fm/article/view/4879

Bughin, J., Chui, M., & Manyika, J. (2010). Clouds, big data, and smart assets: Ten tech-enabled business trends to watch. McKinsey Quarterly, 56(1), 75–86.

Chen, X. W., & Lin, X. (2014). Big Data Deep Learning: Challenges and Perspectives. IEEE Access, 2, 514–525. https://doi.org/10.1109/ACCESS.2014.2325029

Cohen, J., Dolan, B., Dunlap, M., Hellerstein, J. M., & Welton, C. (2009). MAD Skills: New Analysis Practices for Big Data. Proc. VLDB Endow., 2(2), 1481–1492. https://doi.org/10.14778/1687553.1687576

Daniel, B. (2015). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology, 46(5), 904–920. https://doi.org/10.1111/bjet.12230

Daries, J. P., Reich, J., Waldo, J., Young, E. M., Whittinghill, J., Ho, A. D., … Chuang, I. (2014). Privacy, Anonymity, and Big Data in the Social Sciences. Commun. ACM, 57(9), 56–63. https://doi.org/10.1145/2643132

De Mauro, A. D., Greco, M., & Grimaldi, M. (2016). A formal definition of Big Data based on its essential features. Library Review, 65(3), 122–135. https://doi.org/10.1108/LR-06-2015-0061

De Mauro, A., Greco, M., & Grimaldi, M. (2015). What is big data? A consensual definition and a review of key research topics. AIP Conference Proceedings, 1644(1), 97–104. https://doi.org/10.1063/1.4907823

Dumbill, E. (2012). Making Sense of Big Data. Big Data, 1(1), 1–2. https://doi.org/10.1089/big.2012.1503

Eaton, M. (2017). Seeing Library Data: A Prototype Data Visualization Application for Librarians. Publications and Research. Retrieved from http://academicworks.cuny.edu/kb_pubs/115

Emanuel, J. (2013). Usability testing in libraries: methods, limitations, and implications. OCLC Systems & Services: International Digital Library Perspectives, 29(4), 204–217. https://doi.org/10.1108/OCLC-02-2013-0009

Graham, M., & Shelton, T. (2013). Geography and the future of big data, big data and the future of geography. Dialogues in Human Geography, 3(3), 255–261. https://doi.org/10.1177/2043820613513121

Harper, L., & Oltmann, S. (2017, April 2). Big Data’s Impact on Privacy for Librarians and Information Professionals. Retrieved November 7, 2017, from https://www.asist.org/publications/bulletin/aprilmay-2017/big-datas-impact-on-privacy-for-librarians-and-information-professionals/

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Ullah Khan, S. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47(Supplement C), 98–115. https://doi.org/10.1016/j.is.2014.07.006

Hwangbo, H. (2014, October 22). The future of collaboration: Large-scale visualization. Retrieved November 7, 2017, from http://usblogs.pwc.com/emerging-technology/the-future-of-collaboration-large-scale-visualization/

Laney, D. (2001, February 6). 3D Data Management: Controlling Data Volume, Velocity, and Variety.

Miltenoff, P., & Hauptman, R. (2005). Ethical dilemmas in libraries: an international perspective. The Electronic Library, 23(6), 664–670. https://doi.org/10.1108/02640470510635746

Philip Chen, C. L., & Zhang, C.-Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275(Supplement C), 314–347. https://doi.org/10.1016/j.ins.2014.01.015

Power, D. J. (2014). Using ‘Big Data’ for analytics and decision support. Journal of Decision Systems, 23(2), 222–228. https://doi.org/10.1080/12460125.2014.888848

Provost, F., & Fawcett, T. (2013). Data Science and its Relationship to Big Data and Data-Driven Decision Making. Big Data, 1(1), 51–59. https://doi.org/10.1089/big.2013.1508

Reilly, S. (2013, December 12). What does Horizon 2020 mean for research libraries? Retrieved November 7, 2017, from http://libereurope.eu/blog/2013/12/12/what-does-horizon-2020-mean-for-research-libraries/

Reyes, J. (2015). The skinny on big data in education: Learning analytics simplified. TechTrends: Linking Research & Practice to Improve Learning, 59(2), 75–80. https://doi.org/10.1007/s11528-015-0842-1

Schroeder, R. (2014). Big Data and the brave new world of social media research. Big Data & Society, 1(2), 2053951714563194. https://doi.org/10.1177/2053951714563194

Sugimoto, C. R., Ding, Y., & Thelwall, M. (2012). Library and information science in the big data era: Funding, projects, and future [a panel proposal]. Proceedings of the American Society for Information Science and Technology, 49(1), 1–3. https://doi.org/10.1002/meet.14504901187

Tene, O., & Polonetsky, J. (2012). Big Data for All: Privacy and User Control in the Age of Analytics. Northwestern Journal of Technology and Intellectual Property, 11, [xxvii]-274.

van Dijck, J. (2014). Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology. Surveillance & Society; Newcastle upon Tyne, 12(2), 197–208.

Waller, M. A., & Fawcett, S. E. (2013). Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management. Journal of Business Logistics, 34(2), 77–84. https://doi.org/10.1111/jbl.12010

Weiss, A. (2018). Big-Data-Shocks-An-Introduction-to-Big-Data-for-Librarians-and-Information-Professionals. Rowman & Littlefield Publishers. Retrieved from https://rowman.com/ISBN/9781538103227/Big-Data-Shocks-An-Introduction-to-Big-Data-for-Librarians-and-Information-Professionals

West, D. M. (2012). Big data for education: Data mining, data analytics, and web dashboards. Governance Studies at Brookings, 4, 1–0.

Willis, J. (2013). Ethics, Big Data, and Analytics: A Model for Application. Educause Review Online. Retrieved from https://docs.lib.purdue.edu/idcpubs/1

Wixom, B., Ariyachandra, T., Douglas, D. E., Goul, M., Gupta, B., Iyer, L. S., … Turetken, O. (2014). The current state of business intelligence in academia: The arrival of big data. CAIS, 34, 1.

Wu, X., Zhu, X., Wu, G. Q., & Ding, W. (2014). Data mining with big data. IEEE Transactions on Knowledge and Data Engineering, 26(1), 97–107. https://doi.org/10.1109/TKDE.2013.109

Wu, Z., Wu, J., Khabsa, M., Williams, K., Chen, H. H., Huang, W., … Giles, C. L. (2014). Towards building a scholarly big data platform: Challenges, lessons and opportunities. In IEEE/ACM Joint Conference on Digital Libraries (pp. 117–126). https://doi.org/10.1109/JCDL.2014.6970157

 

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more on big data





social media algorithms

How algorithms impact our browsing behavior? browsing history?
What is the connection between social media algorithms and fake news?
Are there topic-detection algorithms as they are community-detection ones?
How can I change the content of a [Google] search return? Can I? 

Larson, S. (2016, July 8). What is an Algorithm and How Does it Affect You? The Daily Dot. Retrieved from https://www.dailydot.com/debug/what-is-an-algorithm/
Berg, P. (2016, June 30). How Do Social Media Algorithms Affect You | Forge and Smith. Retrieved September 19, 2017, from https://forgeandsmith.com/how-do-social-media-algorithms-affect-you/
Oremus, W., & Chotiner, I. (2016, January 3). Who Controls Your Facebook Feed. Slate. Retrieved from http://www.slate.com/articles/technology/cover_story/2016/01/how_facebook_s_news_feed_algorithm_works.html
Lehrman, R. A. (2013, August 11). The new age of algorithms: How it affects the way we live. Christian Science Monitor. Retrieved from https://www.csmonitor.com/USA/Society/2013/0811/The-new-age-of-algorithms-How-it-affects-the-way-we-live
Johnson, C. (2017, March 10). How algorithms affect our way of life. Desert News. Retrieved from https://www.deseretnews.com/article/865675141/How-algorithms-affect-our-way-of-life.html
Understanding algorithms and their impact on human life goes far beyond basic digital literacy, some experts said.
An example could be the recent outcry over Facebook’s news algorithm, which enhances the so-called “filter bubble”of information.
personalized search (https://en.wikipedia.org/wiki/Personalized_search)
Kounine, A. (2016, August 24). How your personal data is used in personalization and advertising. Retrieved September 19, 2017, from https://www.tastehit.com/blog/personal-data-in-personalization-and-advertising/
Hotchkiss, G. (2007, March 9). The Pros & Cons Of Personalized Search. Retrieved September 19, 2017, from http://searchengineland.com/the-pros-cons-of-personalized-search-10697
Magid, L. (2012). How (and why) To Turn Off Google’s Personalized Search Results. Forbes. Retrieved from https://www.forbes.com/sites/larrymagid/2012/01/13/how-and-why-to-turn-off-googles-personalized-search-results/#53a30be838f2
Nelson, P. (n.d.). Big Data, Personalization and the No-Search of Tomorrow. Retrieved September 19, 2017, from https://www.searchtechnologies.com/blog/big-data-search-personalization

gender

Massanari, A. (2017). #Gamergate and The Fappening: How Reddit’s algorithm, governance, and culture support toxic technocultures. New Media & Society19(3), 329-346. doi:10.1177/1461444815608807

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community detection algorithms:

Bedi, P., & Sharma, C. (2016). Community detection in social networks. Wires: Data Mining & Knowledge Discovery6(3), 115-135.

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CRUZ, J. D., BOTHOREL, C., & POULET, F. (2014). Community Detection and Visualization in Social Networks: Integrating Structural and Semantic Information. ACM Transactions On Intelligent Systems & Technology5(1), 1-26. doi:10.1145/2542182.2542193

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Bai, X., Yang, P., & Shi, X. (2017). An overlapping community detection algorithm based on density peaks. Neurocomputing2267-15. doi:10.1016/j.neucom.2016.11.019

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topic-detection algorithms:

Zeng, J., & Zhang, S. (2009). Incorporating topic transition in topic detection and tracking algorithms. Expert Systems With Applications36(1), 227-232. doi:10.1016/j.eswa.2007.09.013

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topic detection and tracking (TDT) algorithms based on topic models, such as LDA, pLSI (https://en.wikipedia.org/wiki/Probabilistic_latent_semantic_analysis), etc.

Zhou, E., Zhong, N., & Li, Y. (2014). Extracting news blog hot topics based on the W2T Methodology. World Wide Web17(3), 377-404. doi:10.1007/s11280-013-0207-7

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The W2T (Wisdom Web of Things) methodology considers the information organization and management from the perspective of Web services, which contributes to a deep understanding of online phenomena such as users’ behaviors and comments in e-commerce platforms and online social networks.  (https://link.springer.com/chapter/10.1007/978-3-319-44198-6_10)

ethics of algorithm

Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 2053951716679679. https://doi.org/10.1177/2053951716679679

journalism

Malyarov, N. (2016, October 18). Journalism in the age of algorithms, platforms and newsfeeds | News | FIPP.com. Retrieved September 19, 2017, from http://www.fipp.com/news/features/journalism-in-the-age-of-algorithms-platforms-newsfeeds

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https://blog.stcloudstate.edu/ims?s=algorithm
more on algorithms in this IMS blog

see also

responsible analytics

Call for Chapters: Responsible Analytics and Data Mining in Education

https://www.linkedin.com/groups/934617/934617-6276907956181233664

• Who collects and controls the data?
• Is it accessible to all stakeholders?
• How are the data being used, and is there a possibility for abuse?
• How do we assess data quality?
• Who determines which data to trust and use?
• What happens when the data analysis yields flawed results?
• How do we ensure due process when data-driven errors are uncovered?
• What policies are in place to address errors?
• Is there a plan for handling data breaches?

Call for Chapter Proposals page (https://big-data-in-education.blogspot.com)

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more on data mining in this IMS blog
https://blog.stcloudstate.edu/ims?s=data+mining
more on analytics in this IMS blog
https://blog.stcloudstate.edu/ims?s=analytics

qualitative method research

Cohort 7

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Qualitative Method Research

quote

Data treatment and analysis

Because the questionnaire data comprised both Likert scales and open questions, they were analyzed quantitatively and qualitatively. Textual data (open responses) were qualitatively analyzed by coding: each segment (e.g. a group of words) was assigned to a semantic reference category, as systematically and rigorously as possible. For example, “Using an iPad in class really motivates me to learn” was assigned to the category “positive impact on motivation.” The qualitative analysis was performed using an adapted version of the approaches developed by L’Écuyer (1990) and Huberman and Miles (1991, 1994). Thus, we adopted a content analysis approach using QDAMiner software, which is widely used in qualitative research (see Fielding, 2012; Karsenti, Komis, Depover, & Collin, 2011). For the quantitative analysis, we used SPSS 22.0 software to conduct descriptive and inferential statistics. We also conducted inferential statistics to further explore the iPad’s role in teaching and learning, along with its motivational effect. The results will be presented in a subsequent report (Fievez, & Karsenti, 2013)

Fievez, A., & Karsenti, T. (2013). The iPad in Education: uses, benefits and challenges. A survey of 6057 students and 302 teachers in Quebec, Canada (p. 51). Canada Research Chair in Technologies in Education. Retrieved from https://www.academia.edu/5366978/The_iPad_in_Education_uses_benefits_and_challenges._A_survey_of_6057_students_and_302_teachers_in_Quebec_Canada

unquote

 The 20th century notion of conducting a qualitative research by an oral interview and then processing manually your results had triggered in the second half of the 20th century [sometimes] condescending attitudes by researchers from the exact sciences.
The reason was the advent of computing power in the second half of the 20th century, which allowed exact sciences to claim “scientific” and “data-based” results.
One of the statistical package, SPSS, is today widely known and considered a magnificent tools to bring solid statistically-based argumentation, which further perpetuates the superiority of quantitative over qualitative method.
At the same time, qualitative researchers continue to lag behind, mostly due to the inertia of their approach to qualitative analysis. Qualitative analysis continues to be processed in the olden ways. While there is nothing wrong with the “olden” ways, harnessing computational power can streamline the “olden ways” process and even present options, which the “human eye” sometimes misses.
Below are some suggestions, you may consider, when you embark on the path of qualitative research.
The Use of Qualitative Content Analysis in Case Study Research
Florian Kohlbacher
http://www.qualitative-research.net/index.php/fqs/article/view/75/153

excellent guide to the structure of a qualitative research

Palys, T., & Atchison, C. (2012). Qualitative Research in the Digital Era: Obstacles and Opportunities. International Journal Of Qualitative Methods, 11(4), 352-367.
http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3dkeh%26AN%3d89171709%26site%3dehost-live%26scope%3dsite
Palys and Atchison (2012) present a compelling case to bring your qualitative research to the level of the quantitative research by using modern tools for qualitative analysis.
1. The authors correctly promote NVivo as the “jaguar’ of the qualitative research method tools. Be aware, however, about the existence of other “Geo Metro” tools, which, for your research, might achieve the same result (see bottom of this blog entry).
2. The authors promote a new type of approach to Chapter 2 doctoral dissertation and namely OCR-ing PDF articles (most of your literature as of 2017 is mostly either in PDF or electronic textual format) through applications such as
Abbyy Fine Reader, https://www.abbyy.com/en-us/finereader/
OmniPage,  http://www.nuance.com/for-individuals/by-product/omnipage/index.htm
Readirus http://www.irislink.com/EN-US/c1462/Readiris-16-for-Windows—OCR-Software.aspx
The text from the articles is processed either through NVIVO or related programs (see bottom of this blog entry). As the authors propose: ” This is immediately useful for literature review and proposal writing, and continues through the research design, data gathering, and analysis stages— where NVivo’s flexibility for many different sources of data (including audio, video, graphic, and text) are well known—of writing for publication” (p. 353).
In other words, you can try to wrap your head around huge amount of textual information, but you can also approach the task by a parallel process of processing the same text with a tool.
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Here are some suggestions for Computer Assisted / Aided Qualitative Data Analysis Software (CAQDAS) for a small and a large community applications):

– RQDA (the small one): http://rqda.r-forge.r-project.org/ (see on youtube the tutorials of Metin Caliskan); one active developper.
GATE (the large one): http://gate.ac.uk/ | https://gate.ac.uk/download/

text mining: https://en.wikipedia.org/wiki/Text_mining
Text mining, also referred to as text data mining, roughly equivalent to text analytics, is the process of deriving high-quality information from text. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and interpretation of the output.
https://ischool.syr.edu/infospace/2013/04/23/what-is-text-mining/
Qualitative data is descriptive data that cannot be measured in numbers and often includes qualities of appearance like color, texture, and textual description. Quantitative data is numerical, structured data that can be measured. However, there is often slippage between qualitative and quantitative categories. For example, a photograph might traditionally be considered “qualitative data” but when you break it down to the level of pixels, which can be measured.
word of caution, text mining doesn’t generate new facts and is not an end, in and of itself. The process is most useful when the data it generates can be further analyzed by a domain expert, who can bring additional knowledge for a more complete picture. Still, text mining creates new relationships and hypotheses for experts to explore further.

quick and easy:

intermediate:

advanced:

http://tidytextmining.com/

Introduction to GATE Developer  https://youtu.be/o5uhMF15vsA


 

use of RapidMiner:

https://rapidminer.com/pricing/

– Coding Analysis Toolkit (CAT) from University of Pittsburgh and University of Massachusetts
– Raven’s Eye is an online natural language ANALYSIS tool based
– ATLAS.TI
– XSIGTH

– QDA Miner: http://provalisresearch.com/products/qualitative-data-analysis-software/

There is also a free version called QDA Miner Lite with limited functionalities: http://provalisresearch.com/products/qualitative-data-analysis-software/freeware/

– MAXQDA

–  NVivo

– SPSS Text Analytics

– Kwalitan

– Transana (include video transcribing capability)

– XSight

Nud*ist https://www.qsrinternational.com/

(Cited from: https://www.researchgate.net/post/Are_there_any_open-source_alternatives_to_Nvivo [accessed Apr 1, 2017].

– OdinText

IBM Watson Conversation
IBM Watson Text to Speech
Google Translate API
MeTA
LingPipe
NLP4J
Timbl
Colibri Core
CRF++
Frog
Ucto
– CRFsuite

– FoLiA
PyNLPl
openNLP
NLP Compromise
MALLET
Cited from: https://www.g2crowd.com/products/nvivo/competitors/alternatives [accessed April 1, 2017
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http://www.socresonline.org.uk/3/3/4.html
Christine A. Barry (1998) ‘Choosing Qualitative Data Analysis Software: Atlas/ti and Nudist Compared’
Sociological Research Online, vol. 3, no. 3, <http://www.socresonline.org.uk/3/3/4.html&gt;

Pros and Cons of Computer Assisted Qualitative Data Analysis Software

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more on quantitative research:

Asamoah, D. A., Sharda, R., Hassan Zadeh, A., & Kalgotra, P. (2017). Preparing a Data Scientist: A Pedagogic Experience in Designing a Big Data Analytics Course. Decision Sciences Journal of Innovative Education, 15(2), 161–190. https://doi.org/10.1111/dsji.12125
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literature on quantitative research:
Borgman, C. L. (2015). Big Data, Little Data, No Data: Scholarship in the Networked World. MIT Press. https://mplus.mnpals.net/vufind/Record/ebr4_1006438
St. Cloud State University MC Main Collection – 2nd floor AZ195 .B66 2015
p. 161 Data scholarship in the Humanities
p. 166 When Are Data?
Philip Chen, C. L., & Zhang, C.-Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275(Supplement C), 314–347. https://doi.org/10.1016/j.ins.2014.01.015

technology requirements for librarians job samples

also academic technology

Data Visualization Designer and Consultant for the Arts
Lecturer
The University Libraries of Virginia Tech seeks a specialist to join a team offering critical and sophisticated new technology development services that enhance the scholarly and creative expression of faculty and graduate students. This new position will bring relevant computational techniques to the enhance the fields of Art and Design at Virginia Tech, and will serve as a visual design consultant to project teams using data visualization methodologies.

The ideal candidates will have demonstrated web development and programming skills, knowledge of digital research methods and tools in Art and Design, experience managing and interpreting common types of digital data and assets studied in those fields.

The Data Visualization Designer & Digital Consultant for the Arts will not only help researchers in Art and Design fields develop, manage, and sustain digital creative works and digital forms of scholarly expression, but also help researchers across Virginia Tech design effective visual representations of their research. Successful candidates will work collaboratively with other Virginia Tech units, such as the School of Visual Arts; the School of Performing Arts; the Moss Center for the Arts; the Institute for Creativity, Arts, and Technology; and the arts community development initiative VTArtWorks (made possible by the Institute of Museum and Library Services [SP-02-15-0034-15])

Responsibilities

– Investigates and applies existing and emerging technologies that help strengthen the Libraries’ mission to enhance and curate visual representations of data at Virginia Tech.

– Develops and modifies technologies and designs processes that facilitate data visualization/exploration, data and information access, data discovery, data mining, data publishing, data management, and preservation

– Serves as consultant to researchers on data visualization, visual design principles, and related computational tools and methods in the digital arts

– Keeps up with trends in digital research issues, methods, and tools in related disciplines

– Identifies data, digital scholarship, and digital library development referral opportunities; makes connections with research teams across campus

– Participates in teams and working groups and in various data-related projects and initiatives as a result of developments and changes in library services

The James E. Walker Library at Middle Tennessee State University (MTSU) seeks a systems librarian to contribute to the mission of the library through administration and optimization of the library’s various management systems.

This is a 12-month, tenure-track position (#401070) at the rank of assistant/associate professor. Start date for the position is July 1, 2018. All library faculty are expected to meet promotion and tenure standards.

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https://blog.stcloudstate.edu/ims/2017/10/10/code4lib-2018-2/

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Wake Forest University

Digital Curation Librarian

This position reports to the team director. The successful candidate will collaborate with campus faculty and library colleagues to ensure long-term preservation and accessibility of digital assets, projects, and datasets collected and created by the library, and to support metadata strategies associated with digital scholarship and special collections. The person in this position will engage in national and/or international initiatives and insure that best practice is followed for curation of digital materials.

Responsibilities:

Coordinate management of digital repositories, working across teams, including Digital Initiatives & Scholarly Communication, Special Collections & Archives, Technology, and Resource Services, to ensure the sustainability of projects and content
Create and maintain policies and procedures guiding digital preservation practices, including establishing authenticity and integrity workflows for born digital and digitized content
In collaboration with the Digital Collections Librarian, create guidelines and procedures for metadata creation, transformation, remediation, and enhancement
Perform metadata audits of existing digital assets to ensure compliance with standards
Maintain awareness of trends in metadata and resource discovery
Participates in team and library-wide activities; serves on Library, Librarians’ Assembly, and University committees; represents the library in relevant regional, state, and national organizations
Participates in local, regional, or national professional organizations; enriches professional expertise by attending conferences and professional development opportunities, delivering presentations at professional meetings, publishing in professional publications, and serving on professional committees
Perform other duties as assigned
Required Qualifications:

Master’s degree in Library Science from an ALA-accredited program or a master’s degree in a related field
Knowledge of best practices for current digital library standards for digital curation and of born digital and digitized content
Knowledge of current trends in data stewardship and data management plans
Experience with preservation workflows for born digital and digitized content
Experience with metadata standards and protocols (such as Dublin Core, Open Archives Initiative-Protocol for Metadata Harvesting (OAI-PMH), METS, MODS, PREMIS)
Demonstrated ability to manage multiple projects, effectively identify and leverage resources, as well as meet deadlines and budgets
Aptitude for complex, analytical work with an attention to detail
Ability to work independently and as part of a team
Excellent communication skills
Strong service orientation
Desired Qualifications:

One to three years of experience with digital preservation or metadata creation in an academic library setting
Experience with developing, using, and preserving research data collections
Familiarity with GIS and data visualization tools
Demonstrated skills with scripting languages and/or tools for data manipulation (e.g. OpenRefine http://openrefine.org/, Python, XSLT, etc.)

 

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Mimi O’Malley is the learning technology translation strategist at Spalding University

https://blog.stcloudstate.edu/ims/2017/10/03/embedded-librarianship-in-online-courses/

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JSON and Structured Data

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THE DIGITAL HUMANITIES: IMPLICATIONS FOR LIBRARIANS,

LIBRARIES, AND LIBRARIANSHIP

The redefinition of humanities scholarship has received major attention in higher education over the past few years. The advent of digital humanities has challenged many aspects of academic librarianship. With the acknowledgement that librarians must be a necessary part of this scholarly conversation, the challenges facing subject/liaison librarians, technical service librarians, and library administrators are many. Developing the knowledge base of digital tools, establishing best procedures and practices, understanding humanities scholarship, managing data through the research lifecycle, teaching literacies (information, data, visual) beyond the one-shot class, renegotiating the traditional librarian/faculty relationship as ‘service orientated,’ and the willingness of library and institutional administrators to allocate scarce resources to digital humanities projects while balancing the mission and priorities of their institutions are just some of the issues facing librarians as they reinvent themselves in the digital humanities sphere.

A CALL FOR PROPOSALS

College & Undergraduate Libraries, a peer-reviewed journal published by Taylor & Francis, invites proposals for articles to be published in the fall of 2017. The issue will be co-edited by Kevin Gunn (gunn@cua.edu) of the Catholic University of America and Jason Paul (pauljn@stolaf.edu) of St. Olaf College.

The issue will deal with the digital humanities in a very broad sense, with a major focus on their implications for the roles of academic librarians and libraries as well as on librarianship in general. Possible article topics include, but are not limited to, the following themes, issues, challenges, and criticism:

  • Developing the project development mindset in librarians
  • Creating new positions and/or cross-training issues for librarians
  • Librarian as: point-of-service agent, an ongoing consultant, or as an embedded project librarian
  • Developing managerial and technological competencies in librarians
  • Administration support (or not) for DH endeavors in libraries
  • Teaching DH with faculty to students (undergraduate and graduate) and faculty
  • Helping students working with data
  • Managing the DH products of the data life cycle
  • Issues surrounding humanities data collection development and management
  • Relationships of data curation and digital libraries in DH
  • Issues in curation, preservation, sustainability, and access of DH data, projects, and products
  • Linked data, open access, and libraries
  • Librarian and staff development for non-traditional roles
  • Teaching DH in academic libraries
  • Project collaboration efforts with undergraduates, graduate students, and faculty
  • Data literacy for librarians
  • The lack of diversity of librarians and how it impacts DH development
  • Advocating and supporting DH across the institution
  • Developing institutional repositories for DH
  • Creating DH scholarship from the birth of digital objects
  • Consortial collaborations on DH projects
  • Establishing best practices for dh labs, networks, and services
  • Assessing, evaluating, and peer reviewing DH projects and librarians.

Articles may be theoretical or ideological discussions, case studies, best practices, research studies, and opinion pieces or position papers.

Proposals should consist of an abstract of up to 500 words and up to six keywords describing the article, together with complete author contact information. Articles should be in the range of 20 double-spaced pages in length. Please consult the following link that contains instructions for authors: http://www.tandfonline.com/action/authorSubmission?journalCode=wcul20&page=instructions#.V0DJWE0UUdU.

Please submit proposals to Kevin Gunn (gunn@cua.edu) by August 17, 2016; please do not use Scholar One for submitting proposals. First drafts of accepted proposals will be due by February 1, 2017 with the issue being published in the fall of 2017. Feel free to contact the editors with any questions that you may have.

Kevin Gunn, Catholic University of America

Jason Paul, St. Olaf College

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The Transformational Initiative for Graduate Education and Research (TIGER) at the General Library of the University of Puerto Rico-Mayaguez (UPRM) seeks an enthusiastic and creative Research Services Librarian to join our recently created Graduate Research and Innovation Center (GRIC).

The Research Services Librarian works to advance the goals and objectives of Center and leads the creation and successful organization of instructional activities, collaborates to envision and implement scholarly communication services and assists faculty, postdoctoral researchers, and graduate students in managing the lifecycle of data resulting from all types of projects. This initiative is funded by a five year grant awarded by the Promoting Postbaccalaureate Opportunities for Hispanic Americans Program (PPOHA), Title V, Part B, of the U.S. Department of Education.

The Research Services Librarian will build relationships and collaborate with the GRIC personnel and library liaisons as well as with project students and staff. This is a Librarian I position that will be renewed annually (based upon performance evaluation) for the duration of the project with a progressive institutionalization commitment starting on October 1st, 2016. .

The Mayaguez Campus of the University of Puerto Rico is located in the western part of the island. Our library provides a broad array of services, collections and resources for a community of approximately 12,100 students and supports more than 95 academic programs. An overview of the library and the university can be obtained through http://www.uprm.edu/library/.

REQUIRED QUALIFICATIONS

  • Master’s degree in library or information science (MLS, MIS, MLIS) from an ALA (American Library Association)-accredited program • Fully bilingual in English and Spanish • Excellent interpersonal and communication skills and ability to work well with a diverse academic community • Experience working in reference and instruction in an academic/research library and strong assessment and user-centered service orientation • Demonstrated experience working across organizational boundaries and managing complex stakeholder groups to move projects forward • Experience with training, scheduling and supervising at various settings • Ability to work creatively, collaboratively and effectively on teams and on independent assignments • Experience with website creation and design in a CMS environment and accessibility and compliance issues • Strong organizational skills and ability to manage multiple priorities.

PREFERRED QUALIFICATIONS

  • Experience creating and maintaining web-based subject guides and tutorials • Demonstrated ability to deliver in-person and online reference services • Experience helping researchers with data management planning and understanding of trends and issues related to the research lifecycle, including creation, analysis, preservation, access, and reuse of research data • Demonstrated a high degree of facility with technologies and systems germane to the 21st century library, and be well versed in the issues surrounding scholarly communications and compliance issues (e.g. author identifiers, data sharing software, repositories, among others) • Demonstrate awareness of emerging trends, best practices, and applicable technologies in academic librarianship • Demonstrated experience with one or more metadata and scripting languages (e.g. Dublin Core, XSLT, Java, JavaScript, Python, or PHP) • Academic or professional experience in the sciences or other fields utilizing quantitative methodologies • Experience conducting data-driven analysis of user needs or user testing.
  • Second master’s degree, doctorate or formal courses leading to a doctorate degree from an accredited university

PRIMARY RESPONSIBILITIES AND DUTIES

  1. Manages daily operations, coordinates activities, and services related to the GRIC and contributes to the continuing implementation of TIGER goals and objectives.
  2. Works closely with liaison and teaching librarians to apply emerging technologies in the design, delivery, and maintenance of high-quality subject guides, digital collection, learning objects, online tutorials, workshops, seminars, mobile and social media interfaces and applications.
  3. Provide support to faculty and graduate students through the integration of digital collection, resources, technologies and analytical tools with traditional resources and by offering user-centered consultation and specialized services 4. Participates in the implementation, promotion, and assessment of the institutional repository and e-science initiative related to data storage, retrieval practices, processes, and data literacy/management.
  4. Advises and educates campus community about author’s rights, Creative Commons licenses, copyrighted materials, open access, publishing trends and other scholarly communication issues.
  5. Develops new services as new needs arise following trends in scholarly communication e-humanities, and e-science.
  6. Provides and develops awareness and knowledge related to digital scholarship and research lifecycle for librarians and staff.
  7. Actively disseminates project outcomes and participates in networking and professional development activities to keep current with emerging practices, technologies and trends.
  8. Actively promote TIGER or GRIC related activities through social networks and other platforms as needed.
  9. Periodically collects, analyzes, and incorporates relevant statistical data into progress reports as needed (e.g. Facebook, Twitter, Springshare, among others).
  10. Actively collaborates with the TIGER Project Assessment Coordinator and the Springshare Administrator to create reports and tools to collect data on user needs.
  11. Coordinates the transmission of online workshops through Google Hangouts Air with the Agricultural Experiment Station Library staff.
  12. Collaborates in the creation of grants and external funds proposals.
  13. Availability and flexibility to work some weeknights and weekends.

SALARY: $ 45,720.00 yearly+ (12 month year).

BENEFITS: University health insurance, 30 days of annual leave, 18 days of sick leave.

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Technology Integration and Web Services Librarian

The Ferris Library for Information, Technology and Education (FLITE) at Ferris State University (Big Rapids, Michigan) invites applications for a collaborative and service-oriented Technology Integration and Web Services Librarian.  The Technology Integration and Web Services Librarian ensures that library   systems and web services support and enhance student learning. Primary responsibilities include management and design of the library website’s  architecture, oversight of the technical and administrative aspects of the library management system and other library enterprise applications, and the seamless integration of all library web-based services. Collaborates with other library faculty and staff to provide reliable electronic access to online resources and to improve the accessibility, usability, responsiveness, and overall user experience of the library’s website. Serves as a liaison to other campus units including Information Technology Services. The Technology Integration and Web Services Librarian is a 12-month, tenure-track faculty position based in the Collections & Access Services team and reports to the Assistant Dean for Collections & Access Services.

Required Qualifications:  ALA accredited master’s degree in library or information science by the time of hire. Minimum 2 years recent experience in administration and configuration of a major enterprise system, such as a library management system. Minimum 2 years recent experience in designing and managing a large-scale website using HTML5, Javascript, and CSS. Demonstrated commitment to the principles of accessibility, universal design, and user-centered design methodologies.  Recent experience with object-oriented programming and scripting languages used to support a website. Experience working in a Unix/ Linux environment. Experience with SQL and maintaining MySQL, PostgreSQL, and/ or Oracle databases. Knowledge of web site analytics and experience with making data-driven decisions.

For a complete posting or to apply, access the electronic applicant system by logging on to https://employment.ferris.edu/postings/25767.

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http://www.all-acad.com/Job/C1538660/Director-of-Digital-Projects/Massachusetts-Institute-of-Technology-%28MIT%29/Cambridge-Massachusetts-United-States/

DIRECTOR OF DIGITAL PROJECTS, MIT Libraries, to direct the development, maintenance, and scaling of software applications and tools designed to dramatically increase access to research collections, improve service capabilities, and expand the library platform.  Will be responsible for leading efforts on a variety of collaborative digital library projects aimed at increasing global access to MIT’s collections and facilitating innovative human and machine uses of a full range of research and teaching objects and metadata; and lead a software development program and develop partnerships with external academic and commercial collaborators to develop tools and platforms with a local and global impact on research, scholarly communications, education, and the preservation of information and ideas.

MIT Libraries seek to be leaders in the collaborative development of a truly open global network of library repositories and platforms. By employing a dynamic, project-based staffing model and drawing on staff resources from across the Libraries to deliver successful outcomes, it is poised to make immediate progress.

A full description is available at http://libraries.mit.edu/about/#jobs.

REQUIRED:  four-year college degree; at least seven years’ professional experience and increasing responsibility with library systems and digital library strategy and development; evidence of broad, in-depth technology and systems knowledge; experience with integrated library systems/library services platforms, discovery technologies, digital repositories, and/or digital preservation services and technologies and demonstrated understanding of the trends and ongoing development of such systems and of emerging technologies in these areas; and experience directly leading and managing projects (i.e., developing proposals; establishing timelines, budgets, and staffing plans; leading day-to-day project work; and delivering on commitments).  Job #13458-S

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THE UNIVERSITY OF ALABAMA LIBRARIES  Digital Projects Librarian Position Description

General Summary of Responsibilities

The University of Alabama Libraries seeks an innovative, dynamic, and service-oriented professional for the position of Digital Projects Librarian. Reporting to the Head of Web Services, this position is primarily responsible for development, implementation, and project management of technology projects in a collaborative environment, as well as supporting the development and management of the UA Libraries various web interfaces. This position will also act as primary administrator for LibApps and similar cloud-based library application suites.

Primary Duties and Responsibilities

Reporting to the head of Web Services, the Digital Projects Librarian will manage and extend the University Libraries services by planning and implementing a variety of projects for internal and external audiences. The position will also integrate, manage, and extend various software platforms and web-based tools using LAMP technology skills and web programming languages such as PHP, CSS, and JavaScript.  S/he will support tools such as the University Libraries web site and intranet, will work with an institutional repository instance and digital archives website, and will work with the LibApps suite of library tools. Will modify, implement and create widgets and small applications for learning tools and other interfaces and APIs. The librarian will interact with a wide range of individuals with differing technological abilities and will be expected to successfully collaborate across departments. The librarian will maintain a knowledge of current best practices in security for web tools, and library privacy concerns. The librarian will work to identify promising new technologies that can impact services and generate a better user experience. The librarian will be expected to have some participation in usability and user experience studies.

Department Information

The Web Services Unit is part of the University Libraries Office of Library Technology and is responsible for web applications, web sites, content, and services that comprise the University Libraries web presence. Among its duties, Web Services manages the University Libraries discovery service application, multiple instances of the WordPress CMS, WordPress Blogs, the LibApp suite of library tools, and Omeka as well as other tools, along with usability and accessibility efforts.

 

Duties

  • Administrate the UA suite of the LibApps tools (LibGuides, LibCal, LibAnswers, etc.); responsible for implementation of existing guidelines and maintaining continuity of look, feel and action;
  • Works as part of team that is responsible for management and extension of the University Libraries various web-based applications and tools (such as WordPress as a CMS and other CMS frameworks, WordPress Blogs, custom apps using an Angular JS framework and Bootstrap, Omeka, Drupal);
  • General, project-based web development and UX implementation within the framework of our web site, intranet and student portal;
  • Responsible for creating, modifying and implementing learning-tool solutions, such as Blackboard Learn widgets;
  • Evaluate the use and effectiveness of web applications and other technological services using analytics, usability studies, and other methods;
  • Work to identify and assist in implementing and evaluating promising emerging technologies and social media tools;
  • Provide technical expertise for the use of social media applications and tools;
  • Other duties as assigned.

Required qualifications

  • Master’s degree in Library & Information Sciences from an ALA-accredited program or advanced degree in Instructional Technology or comparable field from an accredited institution;
  • Ability to successfully initiate, track, and manage projects;
  • Demonstrated experience working on digital library projects;
  • Experience administering CMS-type tools and an understanding of web programming work;
  • Familiarity with the Linux and/or Unix command-line;
  • Excellent interpersonal, communication, and customer service skills and the ability to interact effectively with faculty, students, and staff.

Preferred Qualifications

  • One year of experience working in an academic library on large digital projects – either implementation or programming/developing, or both.
  • Demonstrable experience creating course and/or subject guides via LibGuides or a comparable application;
  • Experience developing for libraries using current best practices in writing and implementation of multiple scripting or programing languages;
  • Experience with automated development repository environments using Grunt, Bower, GitHub, etc.
  • Experience with an Open Source content management systems such as WordPress;
  • Demonstrated ability to work collaboratively in a large and complex environment;
  • Familiarity with project management and team productivity tools such as Asana, Trello, and Slack;
  • Knowledge of XML and library metadata standards ;
  • Knowledge of scripting languages such as XSLT, JavaScript, Python, Perl, and PHP;
  • Familiarity with responsive design methodologies and best practices;
  • Familiarity with agile-design practices;
  • Knowledge of graphic design and image editing software.

Environment:

The University of Alabama, The Capstone University, is the State of Alabama’s flagship public university and the senior comprehensive doctoral level institution in Alabama. UA enrolls over 37,000 students, is ranked in the top 50 public universities in the United States, and its School of Library and Information Studies is ranked in the top 15 library schools in the country. UA has graduated 15 Rhodes Scholars, 15 Truman Scholars, has had 121 Fulbright Scholars, is one of the leading institutions for National Merit Scholars (150 in 2015), and has 5 Pulitzer Prize winners among its ranks. Under the new leadership of President Stuart Bell, UA has launched a strategic planning process that includes an aggressive research agenda and expansion of graduate education. UA is located in Tuscaloosa, a metropolitan area of 200,000, with a vibrant economy, a moderate climate, and a reputation across the South as an innovative, progressive community with an excellent quality of life. Tuscaloosa provides easy access to mountains, several large cities, and the beautiful Gulf Coast.

The University of Alabama is an equal opportunity employer and is strongly committed to the diversity of our faculty and staff. Applicants from a broad spectrum of people, including members of ethnic minorities and disabled persons, are especially encouraged to apply. The University Libraries homepage may be accessed at http://libraries.ua.edu

Prior to employment the successful candidate must pass a pre-employment background investigation.

SALARY/BENEFITS: This will be a non-tenure track 12-month renewable appointment for up to three year cycles at the Assistant Professor rank based on performance, funding, and the needs of the University Libraries. Salary is commensurate with qualifications and experience.  Excellent benefits, including professional development support and tuition fee waiver.

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Digital Humanities Developer

https://jobs.columbia.edu/applicants/jsp/shared/frameset/Frameset.jsp?time=1472763140687

Columbia University Libraries seeks a collegial, collaborative, and creative Digital Humanities Developer to join our Libraries IT staff. The Digital Humanities Developer will provide technology support for digital humanities-focused projects by evaluating, implementing and managing relevant platforms and applications; the Developer will also analyze, transform and/or convert existing humanities-related data sets for staff, engage in creative prototyping of innovative applications, and provide technology consulting and instructional support for Libraries staff.

This new position, based in the Libraries’ Digital Program Division, will work on a variety of projects, collaborating closely with the Digital Humanities Librarian, the Digital Scholarship Coordinator, other Libraries technology groups, librarians in the Humanities & History division and project stakeholders. The position will contribute to building out flexible and sustainable technology platforms for the Libraries’ DH programs and will
also explore new and innovative DH applications and tools.

Responsibilities include:
– Evaluate, implement and manage web and related software applications and platforms relevant to the digital humanities program
– Analyze, transform and/or convert existing humanities-related data sets for staff, students and faculty as needed
– Engage in creative prototyping and model innovative technology solutions in support of the goals of the Digital Humanities Center
– Provide technology consulting, guidance and instruction to CUL staff a well as students and faculty as required
– Conduct independent exploration of technology issues and opportunities in the Digital Humanities domain

The successful candidate will have great collaboration and communication skills and a strong interest in developing expertise in the evolving field of digital humanities.

Columbia University is An Equal Opportunity/Affirmative Action employer and strongly encourages individuals of all backgrounds and cultures to consider this position.

-Bachelor’s degree in computer science or a related field, with experience in the humanities, a minimum of 3 years of related work experience, or an equivalent combination of education and experience

Significant experience with UNIX, relational databases (e.g., MySQL, PostgreSQL), and one or more relevant software / scripting languages (e.g., JavaScript, PHP, Python, Ruby/Rails, Perl); experience with modern web standards (HTML5 / CSS / JavaScript); ability to manage software development using revision control software such as SVN and GIT/GITHUB; strong interpersonal skills and demonstrated ability to work as part of collaborative teams; ability to communicate effectively with faculty, students, and staff, including both technical and non-technical collaborators; commitment to supporting and working in a diverse collegial environment

Advanced degree in computer science or a related field, or an advanced degree in the humanities or related field; experience in one or more of the following areas: natural language processing, text analysis, data-mining, machine learning, spatial information / mapping, data modeling, information visualization, integrating digital media into web applications; experience with XML/XSLT, GIS, SOLR, linked data technologies; experience with platforms used for digital exhibits or archives.

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UMass Dartmouth, Assistant/Associate Librarian – Online Services and Digital Applications Librarian, Dartmouth, MA

KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

  • Experience in the design, development and management of web interfaces, including demonstrated pro?ciency with HTML, CSS, and web authoring tools.
  • Working knowledge of relevant coding languages such as Javascript and PHP
  • Ability and willingness to develop work?ows and standards related to all aspects of the library’s web presence and services including related applications.
  • Strong problem solving skills
  • Excellent organizational skills, including the capability for managing a variety of tasks and multiple priorities
  • Demonstrated initiative and proven ability to learn new technologies and adapt to changes in the profession.
  • Understanding of library services and technologies in an academic environment.
  • Strong service orientation and awareness of end user needs as related to library online services and technologies
  • Possesses an understanding of, and a commitment to, usability testing and ongoing assessment of web interfaces
  • Demonstrated ability to thrive in a team environment, working both independently and collaboratively as appropriate.
  • Ability to learn new technical skills quickly and adapt emerging technologies to new domains.
  • Proven ability and willingness to share expertise with colleagues and to articulate technology strategy to non-technical sta? and patrons.
  • Must be available to respond to situations and systems maintenance work that will occur during weekends or evenings.
  • Excellent oral, written, and interpersonal communication, including the ability to develop written project documentation, process procedures, reports, etc.

PREFERRED QUALIFICATIONS:

  • Knowledge of Responsive Web Design and W3C Web Usability Guidelines.
  • Experience supporting an Integrated Library System (ILS)/Library Management Platform and/or discovery system such as Ex Libris’s Primo.
  • Experience using web development languages such as PHP, Javascript, XML, XSLT, and CSS3.
  • Experience with content management systems such as Drupal or WordPress
  • Familiarity with the technical applications and strategies used to enhance the discover ability of library and digital collections.
  • Experience with managing projects, meeting deadlines, and communicating to various stakeholders in an academic library environment.
  • Experience working in a Linux environment.
  • Experience supporting web applications utilizing the LAMP stack (Linux, Apache, MySQL, PHP).

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http://hrs.appstate.edu/employment/epa-jobs/1383

Electronic Resources Librarian

Category: Academic Affairs College: Library Department: Belk Library

Qualifications

The University Libraries at Appalachian State University seeks a responsive and collaborative Electronic Resources Librarian. The Electronic Resources Librarian will ensure a seamless and transparent research environment for students and faculty by managing access to electronic resources. Working collaboratively across library teams, the Electronic Resources Librarian will identify and implement improvements in online content, systems and services. The successful candidate will have strong project management, problem solving, and workflow management skills. The Electronic Resources Librarian is a member of the Resource Acquisition and Management Team.

Required

  • ALA-accredited master’s degree.
  • Excellent communication, presentation, and interpersonal skills.
  • Demonstrated e-resources project and workflow management skills.

Preferred

  • Experience with integrated library systems (Sierra preferred).
  • Experience with setup and maintenance of knowledge base, OpenURL, and discovery systems (EDS preferred).
  • Experience with proxy setup and maintenance (Innovative’s WAM, and/or EZ Proxy preferred).
  • Knowledge of security standards and protocols such as LDAP, Single-Sign On, and Shibboleth, and data transfer standards and protocols such as IP, FTP, COUNTER, and SUSHI.
  • Advanced skills with office productivity software including MS Office, and Google Apps for Education.
  • Evidence of establishing and maintaining excellent vendor relationships.
  • Demonstrated ability to work collaboratively across library teams.
  • Demonstrated skill in technical trouble-shooting and problem-solving.
  • Demonstrated supervisory skills.
  • Second advanced degree.

———————————————————————–

—–Original Message—–
From: lita-l-request@lists.ala.org [mailto:lita-l-request@lists.ala.org] On Behalf Of Spencer Lamm
Sent: Thursday, October 13, 2016 12:13 PM
To: lita-l@lists.ala.org
Subject: [lita-l] Jobs: Digital Repository Application Developer, Drexel University Libraries

Summary

Drexel University Libraries seeks a collaborative and creative professional to develop solutions for managing digital collections, research data, university records, and digital scholarship. Working primarily with our Islandora implementation, this position will play a key role as the Libraries advance preservation services and public access for a wide array of digital content including books, articles, images, journals, newspapers, audio, video, and datasets.

As a member of the Data & Digital Stewardship division, the digital repository application developer will work in a collaborative, team-based environment alongside other developers, as well as archives, metadata, and data services staff. The position’s primary responsibility will be working in a Linux environment with the Islandora digital repository stack, which includes the Fedora Commons digital asset management layer, Apache Solr, and Drupal. To support the ingestion and exposure of new collections and digital object types the position will extend the repository using tools such as: RDF, SPARQL, and triplestores; the SWORD protocol; and XSLT.

Reporting to the manager, discovery systems, the developer will collaborate with collection managers and stakeholders across campus. In addition, the successful candidate will play an active role in the Islandora and Fedora open source communities, contributing code, participating in working groups and engaging in other activities in support of current and future implementers of these technologies.

Job URL: http://www.drexeljobs.com/applicants/Central?quickFind=81621

Key Responsibilities

  • Enhance, extend, and maintain the Libraries’ Islandora-based digital

repository

  • Script metadata transformations and digital object processing using

BASH, Python, and XSLT

  • Develop workflows and integrate systems in collaboration with the

Libraries’ data infrastructure developer to support the ingestion of university records and research output, including datasets and publications

  • Work with campus collection managers and technology staff to plan and

coordinate content migrations

  • Collaborate with team members on the exposure of library and

repository data for indexing by search tools and reuse by other applications

  • Ensure adherence of systems to technical, quality assurance, data

integrity, and security standards for managing data

  • Document solutions and workflows for internal purposes and also as

part of compliance with University legal and privacy requirements

  • As part of the discovery systems team, provide support for library

applications and systems

Required Qualifications

  • Bachelor’s degree in Information or Computer Sciences or a related

field, or an equivalent combination of education and experience

  • 3 years minimum application or systems development experience
  • Experience with scripting languages such as Python and BASH
  • Demonstrated proficiency with a major language such as Java, PHP, Ruby
  • Experience performing data transfers utilizing software library or

language APIs

  • Experience with XML, XSLT, XPath, XQuery, and data encoding languages

and standards

  • Experience with Linux
  • Commitment to continuously enhancing development skills
  • Strong analytical and problem solving ability
  • Strong oral and written communications skills
  • Demonstrated success in working effectively both independently and

within teams

  • Evidence of flexibility and initiative working within a dynamic

environment and a diverse matrix organization

 

Preferred Qualifications

  • Experience in an academic, library, or archives environments
  • Experience with the Fedora Commons and Islandora digital asset

management systems

  • Working knowledge of Apache, Tomcat & other delivery servers.
  • Experience with triple stores, SPARQL, RDF
  • Experience with a version-control system such as Git or Subversion.

 

Interested, qualified applicants may apply at:

http://www.drexeljobs.com/applicants/Central?quickFind=81621

++++++++++++++++++++++++++++++++++++++++

https://jobs.mtholyoke.edu/index.cgi?&JA_m=JASDET&JA_s=459

Librarian and Instructional Technology Liaison – Data Services (#459)

Date Posted: 10/19/2016  Type/Department: Staff in Library, Information & Technology Services
As a member of a fully blended group of librarians and instructional technologists in the Research & Instructional Support (RIS) department, the Librarian/Library and Instructional Technology Liaison (title dependent on qualifications) will work closely with fellow liaisons in RIS to provide forward-looking library research and instructional technology services to faculty and students, with a special focus on data services.The liaison collaborates broadly across LITS as well as with internal and external partners to support faculty and students participating in the College’s data science curricular initiative and in data-intensive disciplines. The liaison coordinates the development, design, and provision of responsive and flexible data services programming for faculty and students, including data analysis, data storage, data publishing, data management, data visualization, and data preservation. The liaison consults with faculty and students in a wide range of disciplines on best practices for teaching and using data/statistical software tools such as R, SPSS, Stata, and MatLab.All liaisons collaborate with faculty to support the design, implementation and assessment of meaningfully integrated library research and technology skills and tools (including Moodle, the learning management system) into teaching and learning activities; provide library research and instructional technology consultation; effectively design, develop, deliver, and assess seminars, workshops, and other learning opportunities; provide self-motivated leadership in imagining and implementing improvements in teaching and learning effectiveness; serve as liaison to one or more academic departments or programs, supporting pedagogical and content needs in the areas of collection development, library research, and instructional technology decisions; maintain high levels of quality customer service standards responding to questions and problems;  partner with colleagues across Library, Information, and Technology Services (LITS) to ensure excellence in the provision of services in support of teaching and learning;  and actively work to help the RIS team and the College to create a welcoming environment in which a diverse population of students, faculty, and staff can thrive.Evening and weekend work may be necessary. In some circumstances, it may be important to assist during adverse weather and emergency situations to ensure essential services and service points are covered. Performs related duties as assigned.Qualifications:

  • Advanced degree required, preferably in education, educational technology, instructional design, or MLS with an emphasis in instruction and assessment. Open to other combinations of education and experience such as advanced degree in quantitative academic disciplines with appropriate teaching and outreach experience.
  • 3-5 years experience in an academic setting with one or more of the following: teaching, outreach, instructional technology and design support, or research support.
  • Significant experience with statistical/quantitative data analysis using one or more of the following tools: R, SPSS, Stata, or MatLab.
  • Significant experience with one or more of the following: data storage, data publishing, data management, data visualization, or data preservation.

Skills:

  • Demonstrated passion for the teaching and learning process, an understanding of a variety of pedagogical approaches, and the ability to develop effective learning experiences.
  • Demonstrated ability to lead projects that include diverse groups of people.
  • A love of learning, the ability to think critically with a dash of ingenuity, the open-mindedness to change your mind, the confidence to admit to not knowing something, and a willingness to learn and move on from mistakes.
  • Attention and care for detail without losing sight of the big picture and our users’ needs.
  • Flexibility to accept, manage, and incorporate change in a fast-paced environment.
  • Excellent oral and written communication, quantitative, organization, and problem-solving skills.
  • The ability to work independently with minimal supervision.
  • Able to maintain a professional and tactful approach in all interactions, ensuring confidentiality and an individual’s right to privacy regarding appropriate information.
  • Enthusiastic service orientation with sensitivity to the needs of users at all skill levels; the ability to convey technical information to a non-technical audience is essential.
  • Ability to travel as needed to participate in consortia and professional meetings and events.

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From: lita-l-request@lists.ala.org [mailto:lita-l-request@lists.ala.org] On Behalf Of Williams, Ginger
Sent: Tuesday, November 22, 2016 8:37 AM
To: ‘lita-l@lists.ala.org’ <lita-l@lists.ala.org>
Subject: [lita-l] Job: Library Specialist Data Visualization & Collection Analytics (Texas USA)

 

library Specialist: Data Visualization & Collections Analytics

 

The Albert B. Alkek Library at Texas State University is seeking a Library Specialist: Data Visualization & Collections Analytics. Under the direction of the Head of Acquisitions, this position provides library-wide support for data visualization and collection analytics projects to support data-driven decision making. This position requires a high level of technical expertise and specialized knowledge to gather, manage, and analyze collection data and access rights, then report complex data in easy-to-understand visualizations. The position will include working with print and digital collections owned or leased by the library.

 

RESPONSIBILITIES: Develop and maintain an analytics strategy for the library. Manage and report usage statistics for electronic resources. Conduct complex holdings comparison analyses utilizing data from the Integrated Library System (ILS), vendors and/or external systems. Produce reports from the ILS on holdings and circulation. Develop strategies to clean and normalize data exported from the ILS and other systems for use in further analysis. Utilize data visualization strategies to report and present analytics. Conduct benchmarking with vendors, peer institutions, and stakeholders. Coordinate record-keeping of current and perpetual access rights for electronic resources and the management of titles in preservation systems such as LOCKSS and PORTICO. Maintain awareness of developments with digital preservation systems and national and international standards for electronic resources. Serve as the primary resource person for questions related to collections analytics and data visualization. Represent department and library-wide needs by participating in various committees. Participate in formulating departmental and unit policies. Pursue professional development activities to improve knowledge, skills, and abilities. Coordinate and/or perform special projects, participate in department & other staff meetings and perform other duties as needed.

QUALIFICATIONS:

Required: Ability to read, analyze, and understand data in a variety of formats; strong written, oral, and interpersonal skills, including ability to work effectively in a team; experience using R, Tableau, BayesiaLab or other data visualization or AI applications, demonstrated by an online portfolio; advanced problem solving, critical thinking, and analytical skills; demonstrated advanced proficiency with Microsoft Excel, including experience using VBA, macros, and formulas; intermediate familiarity with relational databases such as Microsoft Access, including creating relationships, queries, and reports; innovative thinking including the ability to utilize analytics/visualization tools in new, creative, and effective ways.

 

Preferred:  Bachelor’s degree in quantitative or data visualization field such as Applied Statistics, Data Science, or Business Analytics or certificate in data visualization; familiarity with library collection management standards and tools, such as reporting modules within integrated library systems, COUNTER, SUSHI, PIE-J, LOCKSS, PORTICO, library electronic resource usage statistics, and continuing resources; experience with SQL or other query language.

 

SALARY AND BENEFITS:  Commensurate with qualifications and experience. Benefits include monthly contribution to health insurance/benefits package and retirement program. No state or local income tax.

BACKGROUND CHECK: Employment with Texas State University is contingent upon the outcome of a criminal history background check.

Texas State’s 38,849 students choose from 98 bachelor’s, 90 master’s and 12 doctoral degree programs offered by the following colleges: Applied Arts, McCoy College of Business Administration, Education, Fine Arts and Communication, Health Professions, Liberal Arts, Science and Engineering, University College and The Graduate College. As an Emerging Research University, Texas State offers opportunities for discovery and innovation to faculty and students.

Application information:

Apply online at http://jobs.hr.txstate.edu

Texas State University is an Equal Opportunity Employer. Texas State, a member of the

Texas State University System, is committed to increasing the number of women and

minorities in administrative and professional positions.

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Assistant Professor
Working Title Assistant Professor – Web Development Librarian #002847
Department Office of the Dean – Hunter Library
Position Summary Hunter Library seeks an enthusiastic, innovative, collaborative, and user-oriented librarian for the position of Web Development and User Experience Librarian. This librarian will research, develop, and assess enhancements to the library’s web presence. The person in this position will design new sites and applications to improve the user experience in discovering, finding, and accessing library content and services. Providing vision and leadership in designing, developing and supporting the library website content and integrating it with the larger library web presence, which includes discovery tools, digital collections, and electronic resources; supervision of one technology support analyst, as well as staff/student employees engaged in related work, as assigned. Monitors workflow and deadlines; day-to-day management, including programming and editorial recommendations, of the library’s web pages and intranet; serves as a member of the library’s web steering committee, an advisory group that includes representatives from across the library; development and implementation web applications and tools, particularly for mobile environments. The library values collaboration and broad engagement in library-wide decisions and initiatives. This position reports directly to the Head of Technology, Access, and Special Collections.
Carnegie statement WCU embraces its role as a regionally engaged university and is designated by the Carnegie Foundation for the Advancement of Teaching as a community engaged university. Preference will be given to candidates who can demonstrate a commitment to public engagement through their teaching, service, and scholarship
Knowledge, Skills, & Abilities Required for this Position Strong leadership skills and ability to lead a web based electronic content management development team; experience in designing, developing, and supporting web sites using HTML, CSS, and JavaScript; familiarity with User Experience Design; basic skills in graphic design; familiarity with usability testing, WAI guidelines, and web analytics; familiarity with mobile platforms, applications, and design; familiarity with responsive design; familiarity with content management systems, intranets, relational databases, and web servers; demonstrated flexibility and initiative; strong commitment to user-centered services and service excellence; strong analytical and problem-solving skills; ability to work effectively with faculty, staff, and students; superior oral and written communication skills; ability to achieve tenure through effective job performance, service, and research.
Minimum Qualifications ALA-accredited master’s degree or international equivalent in library or information science; strong leadership skills and ability to lead a web based electronic content management development team; experience in designing, developing, and supporting web sites using HTML, CSS, and JavaScript; familiarity with User Experience Design; basic skills in graphic design; familiarity with usability testing, WAI guidelines, and web analytics; familiarity with mobile platforms, applications, and design; familiarity with responsive design; familiarity with content management systems, intranets, relational databases, and web servers. Demonstrated flexibility and initiative; strong commitment to user-centered services and service excellence; strong analytical and problem-solving skills; ability to work effectively with faculty, staff, and students; superior oral and written communication skills; ability to achieve tenure through effective job performance, service, and research
Preferred Qualifications Academic library experience; demonstrated skills in User Experience Design; demonstrated experience with usability testing, WAI guidelines, and web analytics; demonstrated experience with mobile platforms, applications, and design; demonstrated experience developing responsive web pages or applications; demonstrated experience with content management systems, relational databases, and web servers; skills or interest in photography; experience with graphic design software; familiarity with a programming environment that includes languages such as ASP.NET, PHP, Python, or Ruby
Position Type Permanent Full-Time

Position: Library Information Analyst

 

Position summary
The Library Information Analyst coordinates Access & Information Services (AIS) technology assessment activities, working in a 24/5 environment to support the technology needs of customers. This position will analyze and report quantitative and qualitative data gathered from various technology-related services including the iSpace (library maker space), equipment lending, and all public-facing user technology. Using this data, the incumbent will support strategic planning for improving and operationalizing technology-related services, provide analysis to support a wide variety of data to management, and makes recommendations for process improvements.

How to apply
See the full job description to learn more and apply online.

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THE UNIVERSITY OF ALABAMA LIBRARIES

Web Development Librarian

The University of Alabama Libraries seeks a talented and energetic professional Web Development Librarian in the Web Technologies and Development unit. Reporting to the Manager of Web Technologies and Development, this position will be responsible for supporting and extending the Libraries’ custom web applications, tools, and web presence. The position will also engage in project work, and support new technology initiatives derived from our strategic plan. The position duties will be split among extending and supporting our custom PHP web apps framework, maintaining and enhancing our web site, maintaining and extending our custom Bento search tool, and developing for open-source digital initiatives such as EBSCO’s FOLIO library framework. The position will also support inter-departmental development and troubleshooting using your front-stack and back-end skills.

The successful candidate will maintain a knowledge of current best practices in all areas of responsibility with special attention to security. S/he will identify promising new technologies that can positively impact services or generate a better user experience and will be an innovative and entrepreneurial professional who desires to work in a creative, collaborative and respectful environment.

The Web Technologies and Applications department is responsible for the development of such nationally-recognized tools as our Bento search interface and our innovative applications of Ebsco’s EDS tool. The University Libraries emphasizes a culture of continuous learning, professional growth, and diversity through ongoing and regular training, and well-supported professional development.

REQUIRED QUALIFICATIONS:

  • MLS/MLIS degree from an ALA accredited program, or
  • Demonstrated ability to work independently, as well as collaboratively with diverse constituencies; comfortable with ambiguity; and effective oral, written and interpersonal communication
  • Experience (1 year+) developing for LAMP systems / extensive familiarity with PHP and MySQL or other back-end development Eg, must be able to write SQL queries and PHP code, and show understanding of web application usage using these tools within a Linux and Apache environment.
  • Extensive familiarity with front-stack development using Javascript and Javascript libraries, AJAX, JSON, HTML 5 and
  • Familiarity with version control usage systems in a development
  • Familiarity with basic UX, iterative design, accessibility standards and mobile first
  • Experience developing within a WordPress
  • Ability to problem solve
  • Ability to set and follow through on both individual and team priorities and
  • Aptitude for learning new technologies and working in a dynamic
  • Demonstrated comfort with an evolving technology
  • A desire to be awesome, and develop awesome projects.

PREFERRED QUALIFICATIONS:

  • 1-3 years of programming and development experience in a web environment using LAMP
  • Experience developing for, and supporting, common open-source library applications such as Omeka, ArchiveSpace, Dspace,
  • Experience with Java, Ruby, RAML
  • Familiarity with NoSQL databases and
  • Experience interacting with and manipulating REST API data
  • Application or mobile development
  • Experience with professional workflows using IDEs, staging servers, Git, Grunt, and
  • Familiarity with js, Bootstrap, Angular.js, Roots.io.
  • Familiar with UX methodologies and
  • Experience with web security issues, HTTPS, and developing secure
  • Experience developing for and within open-source

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Web Developer/Content Strategist
0604162
University Libraries

Desired Qualifications

– Experience working with Drupal or similar CMS.

– Experience working with LibGuides.

– Familiarity with academic libraries.

General Summary: Designs, develops and maintains websites and related applications for the University Libraries. The position also leads a team to develop holistic communication strategies including the creation and maintenance of an intuitive online experience.

– Develops web content strategy for all University Libraries departments. Serves as Manager for CMS website. Leads effort to coordinate website messaging across multiple platforms including Libraries CMS, LibGuides, social media, and other electronic outlets. Leads research, organization, and public relations efforts concerning the development and release of new websites.

– Designs, tests, debugs and deploys websites. Maintains and updates website architecture and content. Ensures website architecture and content meets University standards.

– Collaborates with University staff to define and document website requirements. Gathers and reports usage statistics, errors or other performance statistics to improve information access and further the goals of the University Libraries.

– Works with Libraries Resource Management to incorporate web-related materials and resources from the Integrated Library System into other web platforms. Works with Libraries IT Services to coordinate maintenance of the architecture, functionality, and integrity of University Libraries websites.

Minimum Qualifications

– Bachelor’s degree or higher in a related field from an accredited institution.

– Three years’ relevant experience.

– Strong interpersonal, written and verbal communication skills.

– Experience documenting technical and content standards.

– Skills involving strong attention to detail.

– Supervisory or lead experience.

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Academic Technology Specialist

https://www.rfcuny.org/careers/postings?pvnID=HO-1710-002124

General Description

Under supervision of the Director of Educational Technology, the Academic Technology Specialist will implement complex technical programs and/or projects; perform a range of work in development/programming, communications, technical support, instructional design, and other similar functions to support faculty, staff and students depending on the needs of the Office of Educational Technology; and provide input to educational technology policy-making decisions.Key Responsibilities and Activities:

  • Support in the implementation of 21st Century technologies, such as ePortfolios, blended/asynchronous courses, mobile learning, Web 2.0 tools for education;
  • Develop and implement innovative pedagogical applications using the latest computer, mobile and digital media;
  • Develop educational and interactive websites, including interactive learning modules, multimedia presentations, and rich media;
  • Provide one-to-one guidance to faculty in Blackboard, ePortfolios, blended/online learning, mobile learning, and digital media use in the classroom across all disciplines in a professional setting;
  • Support and enhance existing homegrown applications as required;
  • Develop and administer short-term training courses for faculty and students. Provide support for Blackboard, Digication, and WordPress users.
  • Keep abreast of the latest hardware and software developments and adapt them for pedagogical uses across disciplines.

 

Other Duties

  • Manage multiple projects in a dynamic team-oriented environment;
  • Serve as a liaison between Academic Departments and the Office of Educational Technology, and as a technical resource in all aspects of instructional design, as well as technologies used in the classroom.
 Qualifications
  • Bachelor Degree in Computer Science or related field, and three years of related work experience. Master Degree preferred.
  • In-depth experience of programming in ASP.NET MVC, PHP and C#;
  • In-depth experience with lecture capturing solutions (e.g. Tegrity, Panopto), TurnItIn, Camtasia, Adobe CS Suite,
  • Strong understanding of database design (MySQL, MS SQL);
  • Strong understanding of HTML5, CSS3, HTML, XHTML, XML, JavaScript, AJAX, JQUERY, and Internet standards and protocols;
  • Strong teamwork and interpersonal skills;
  • Knowledge of project development life cycle is a plus;
  • Strong understanding of WordPress Multisites, Kaltura, WikiMedia, and other CMS platforms is a plus;
  • Experience with Windows Mobile, iOS, and other mobile environments / languages is a plus.

_______________________________

Digital Literacies Librarian

Instruction Services Division – Library
University of California, Berkeley Library
Hiring range: Associate Librarian
$65,942 – $81,606 per annum, based on qualifications
This is a full time appointment available starting March 2019.

The University of California, Berkeley seeks a creative, collaborative, and user-oriented colleague as the Digital Literacies Librarian. The person in this role will join a team committed to teaching emerging scholars to approach research with confidence, creativity, and critical insight, empowering them to access, critically evaluate, and use information to create and distribute their own research in a technologically evolving environment. This position also has a liaison role with the School of Information, building collections and supporting research methodologies such as computational text analysis, data visualization, and machine learning.

The Environment

The UC Berkeley Library is an internationally renowned research and teaching facility at one of the nation’s premier public universities. A highly diverse and intellectually rich environment, Berkeley serves a campus community of 30,000 undergraduate students, over 11,000 graduate students, and 1,500 faculty. With a collection of more than 12 million volumes and a collections budget of over $15 million, the Library offers extensive collections in all formats and robust services to connect users with those collections and build their related research skills.

The Instruction Services Division (ISD) is a team of seven librarians and professional staff who provide leadership for all issues related to the Library’s educational role such as student learning, information literacy, first-year and transfer student experience, reference and research services, assessment of teaching and learning, instructor development, and the design of physical and virtual learning environments. We support course-integrated instruction, drop-in workshops, online guides, and individual research. Our work furthers the Library’s involvement in teaching and learning initiatives and emphasizes the opportunities associated with undergraduate education. We cultivate liaison relationships with campus partners and academic programs.

The School of Information (I School) offers: professional masters degrees in information management, data science, and cybersecurity; a doctoral program in Information Management & Systems; and a Graduate Certificate in Information and Communication Technologies and Development. Research areas include: natural language processing, computer-mediated communication, data science, human-computer interaction, information policy, information visualization, privacy, technology for developing regions, and user experience and design.

Responsibilities

Reporting to the Head of the Instruction Services Division, the Digital Literacies Librarian will further the Library’s digital literacy initiative (Level Up) by working with colleagues in the Library and engaging with campus partners. This librarian will play a key role in supporting information literacy and emerging research methods across the disciplines, partnering with colleagues who have expertise in these areas (e.g. Data Initiatives Expertise Group, Data and GIS Librarians, Digital Humanities Librarian) and campus partners (e.g. D-Lab, Academic Innovation Studio, Research IT, Research Data Management). Collaborations will be leveraged to identify, implement, and promote entry-level research support services for undergraduate users. This librarian will actively participate in the Library’s reference and instructional services—providing in-person reference, virtual reference, individual research consultations, in-person classes, and the development of online instructional content. This librarian will provide consultation and training to students, faculty, and librarians on using digital tools and techniques to enhance their research and to improve teaching and learning. Serving as a liaison to the I School, this position will establish strong relationships with faculty and graduate students and gain insights into trends in information studies that can be incorporated into the library’s instructional portfolio, with a special focus on undergraduates.

Working with colleagues in ISD and across the Library, the Digital Literacies Librarian will develop innovative programs and services. A key pedagogical tactic is promoting peer-to-peer learning for undergraduates, including administering the Library Undergraduate Fellows program. The Fellows program provides students with training and networking opportunities while helping the Library experiment and pilot service models to best support emerging scholars. New service models are piloted in the Center for Connected Learning (CCL) beta site in Moffitt Library. Currently in the design phase, the CCL is a hub for undergraduates to engage in multidisciplinary, multimodal inquiry and creation. Students learn from peers and experts as they ask, seek, and find answers to their questions in an environment unbound by disciplines or domain expertise. Students discover possibilities for learning and research by experimenting directly with new methods and tools. The space is run in partnership with students, and they are empowered to influence service and space design, structure, and policies. The Digital Literacies Librarian will contribute to this ethos by ensuring that emerging scholars are supported to experiment and be connected to the Library’s wealth of scholarly resources and programs.

Qualifications

Minimum Basic Qualification required at the time of application:

● Bachelor’s degree

Additional Required Qualifications required by start date of position:

● Master’s degree from an ALA accredited institution or equivalent international degree.
● Two or more years experience providing reference and/or instruction services in an academic or research library.
● Two or more years experience using digital scholarship methodologies.

Additional Preferred Qualifications:

● Experience applying current developments in information literacy, instructional design, digital initiatives, and assessment.
● Demonstrated understanding of methods and tools related to text mining, web scraping, text and data analysis, and visualization.
● Experience with data visualization principles and tools.
● Demonstrated ability to plan, coordinate, and implement effective programs, complex projects, and services.
● Demonstrated analytical, organizational, problem solving, interpersonal, and communication skills.
● Demonstrated initiative, flexibility, creativity, and ability to work effectively both independently and as a team member.
● Knowledge of the role of the library in supporting the research lifecycle.
● Participation in Digital Humanities Summer Institute (DHSI), ARL Digital Scholarship Institute, Library Carpentry, or other intensive program.

● Experience with or coursework in collection development in an academic or research library.
● Knowledge of licensing issues related to text and data mining.
● Familiarity with data science principles and programming languages such as Python or R.

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Making and Innovation Specialist, UNLV University Libraries [R0113536]

https://www.higheredjobs.com/admin/details.cfm?JobCode=176885111

ROLE of the POSITION

The Making and Innovation Specialist collaborates with library and campus colleagues to connect the Lied Library Makerspace with learning and research at the University of Nevada, Las Vegas. This position leads the instructional initiatives of the Makerspace, coordinates curricular and co-curricular outreach, and facilitates individual and group instruction. The incumbent coordinates daily Makerspace operations and supervises a team of student employees who maintain safety standards and provide assistance to users. As a member of the Department of Knowledge Production, this position works jointly with all disciplines to explore the application of technology in learning and research, and prioritizes creating inclusive spaces and experiences for the UNLV community.

QUALIFICATIONS

This position requires a bachelor’s degree from a regionally accredited college or university and professionals at all stages of their career are encouraged to apply.

Required

Technology

  • Ability to use technology in creative ways to facilitate research and learning.
  • Ability to maintain and troubleshoot digital fabrication technology.
  • Experience with 3D modeling and printing principles including equipment, software, and basic CAD skills.
  • Working knowledge of vector graphic editors and laser cutting or vinyl cutting equipment.
  • Experience with circuitry, Arduino microcontrollers, and Raspberry Pi single-board computers.
  • Coding skills as they apply to circuitry preferred.

Instructional & Organizational

  • Ability to create and maintain policies and instructional materials/guides for Makerspace equipment and services.
  • Managerial skills to hire, train, supervise, and inspire a team of student employees.
  • Excellent oral and written communication skills including the ability to describe relatively complex technical concepts to a non-technical audience.
  • Aptitude for developing and supporting learner-centered instruction for a variety of audiences.
  • Demonstrated capacity and skill to engage students and contribute to student success.
  • Ability to work creatively, collaboratively, and effectively to promote teamwork, diversity, equality, and inclusiveness within the Libraries and the campus.
  • Experience in a relevant academic or public setting preferred.

future of LMS (D2L)

The Move from Course Management to Course Networking

A Q&A with Ali Jafari

http://campustechnology.com/articles/2015/08/18/the-move-from-course-management-to-course-networking.aspx

We need now to have a totally new type of learning environment, both conceptually and technically, and it will also need to be different from a business perspective.

You might think of CN (Course Networking) as a complete social learning suite combined with comprehensive learning management tools, along with associated elements like ePortfolio, data mining, globalization and collaboration tools, and much more.

Every student on the CN has a “social portfolio”, which will be there for the student to access, life long. This social portfolio is different from a “typical” ePortfolio in several ways, but importantly, it can be created dynamically — for example, a teacher might check a box indicating that each student in the top ten percent of her class will receive a badge. Beyond that checkbox, everything happens automatically, without a need for the student to locate and upload the badge for display, and no need for the teacher to monitor or be further involved with the awarding of badges. As a student I can manage my social portfolio, and determine who will see or not see certain elements of it.

we are building and maintaining really one big network — instead of necessarily supporting many, many independent institutional client implementations.

 

QQML2015

7th Qualitative and Quantitative Methods in Libraries International Conference (QQML2015) 26-29 May 2015, IUT-Descartes University, Paris, France

Dear Colleagues and Friends,

It is our pleasure to invite you in Paris (IUT-Descartes University) for the 7th Qualitative and Quantitative Methods in Libraries International Conference (QQML2015,  http://www.isast.org) which is organized under the umbrella of ISAST (International Society for the Advancement of Science and Technology).

This is the seventh year of the conference which brings together different disciplines on library and information science; it is a multi–disciplinary conference that covers the Library and Information Science topics in conjunction to other disciplines (e.g. innovation and economics, management and marketing, statistics and data analysis, information technology, human resources, museums, archives, special librarianship, etc).

The conference invites special and contributed sessions, oral communications, workshops and posters.

Target Group

The target group and the audience are library and archives professionals in a more general sense: professors, researchers, students, administrators, stakeholders, librarians, technologists, museum scientists, archivists, decision makers and managers.

Main topics

The emphasis is given to the models and the initiatives that run under the budget restrictions, such as the Information Management and the innovation, the crisis management, the long-term access, the synergies and partnership, the open access movement and technological development.

The conference will consider, but not be limited to, the following indicative themes:

  1. 1.                Information and Knowledge Management
  2. 2.                Synergies, Organizational Models and Information Systems
  3. 3.                Open Data, Open Access, Analysis and Applications
  4. 4.                Multimedia Systems and Applications
  5. 5.                Computer Networks and Social Networks,
  6. 6.                Health Reference and Informatics
  7. 7.                Information Technologies in Education
  8. 8.                Decision making in service innovation
  9. 9.                Data Mining, content analysis, taxonomies, ontologies
  10. 10.    STM information development

 

Special Sessions – Workshops

You may send proposals for Special Sessions (4-6 papers) or Workshops (more than 2 sessions) including the title and a brief description at:  secretar@isast.org or from the electronic submission at the web page: http://www.isast.org/abstractsubmission.html

You may also send Abstracts/Papers to be included in the proposed sessions, to new sessions or as contributed papers at the web page: http://www.isast.org/abstractsubmission.html

Registrations are registration forms are available from: http://www.isast.org/qqml2015registration.html

Contributions may be realized through one of the following ways

a. structured abstracts (not exceeding 500 words) and presentation;

b. full papers (not exceeding 7,000 words);

c. posters (not exceeding 2,500 words);

In all the above cases at least one of the authors ought to be registered in the conference.

Abstracts and full papers should be submitted electronically within the timetable provided in the web page: http://www.isast.org/.

The abstracts and full papers should be in compliance to the author guidelines: http://www.isast.org/

All abstracts will be published in the Conference Book of Abstracts and in the website of the Conference. The papers of the conference will be published in the website of the conference, after the permission of the author(s).

Student submissions

Professors and Supervisors are encouraged to organize conference sessions of Postgraduate theses and dissertations.

Please direct any questions regarding the QQML 2015 Conference and Student Research Presentations to: the secretariat of the conference at: secretar@isast.org  

Important dates:

First call of proposals: 29th of September 2014

Deadline of abstracts submitted: 20 December 2014

Reviewer’s response: in 3 weeks after submission

Early registration: 30th of March 2015

Paper and Presentation Slides: 1st of May 2015

Conference dates: 26-29 May 2015

Paper contributors have the opportunity to be published in the QQML e- Journal, which continues to retain the right of first choice, however in addition they have the chance to be published in other scientific journals.

QQML e- Journal is included in EBSCOhost and DOAJ (Directory of Open Access Journals).

Submissions of abstracts to special or contributed sessions could be sent directly to the conference secretariat at secretar@isast.org. Please refer to the Session Number, as they are referred at the conference website to help the secretariat to classify the submissions.

For more information and Abstract/Paper submission and Special Session Proposals please visit the conference website at: http://www.isast.org or contact the secretary of the conference at : secretar@isast.org

Looking forward to welcoming you in Paris,

With our best regards,

On behalf of the Conference Committee

Dr. Anthi Katsirikou, Conference Co-Chair
University of Piraeus Library Director
Head, European Documentation Center
Board Member of the Greek Association of Librarians and Information Professionals

anthi@asmda.com

 

Professor Joumana Boustany

Local Chair

Université Paris Descartes – IUT,

143, avenue de Versailles –

75016 Paris

joumana.boustany@parisdescartes.fr

Top Tech Trends – 2013 Annual | Library Information Technology Association (LITA)

Top Tech Trends – 2013 Annual

http://www.ala.org/lita/node/723

Trends

  • DIY Library eBook Platforms
  • Digital Rights Management
  • Discovery and rights determination
  • MOOCs, flipped classrooms, and gamification fatigue
  • Linked data
  • Makerspaces
  • Data collection and data mining

metaverse definition

What the metaverse will (and won’t) be, according to 28 experts

metaverse (hopefully) won’t be the virtual world of ‘Snow Crash,’ or ‘Ready Player One.’ It will likely be something more complex, diverse, and wild.

The metaverse concept clearly means very different things to different people. What exists right now is a series of embryonic digital spaces, such as Facebook’s HorizonEpic Games’ FortniteRoblox‘s digital space for gaming and game creation, and the blockchain-based digital world Decentraland–all of which have clear borders, different rules and objectives, and differing rates of growth.

TIFFANY ROLFE

different layers of realities that we can all be experiencing, even in the same environment or physical space. We’re already doing that with our phones to a certain extent—passively in a physical environment while mentally in a digital one. But we’ll see more experiences beyond your phone, where our whole bodies are fully engaged, and that’s where the metaverse starts to get interesting—we genuinely begin to explore and live in these alternate realities simultaneously.

RONY ABOVITZ, FOUNDER, MAGIC LEAP

Xverse

It will have legacy parts that look and feel like the web today, but it will have new nodes and capabilities that will look and feel like the Ready Player One Oasis (amazing gaming worlds), immersion leaking into our world (like my Magicverse concept), and every imaginable permutation of these. I feel that the Xverse will have gradients of sentience and autonomy, and we will have the emergence of synthetic life (things Sun and Thunder is working on) and a multitude of amazing worlds to explore. Building a world will become something everyone can do (like building a webpage or a blog) and people will be able to share richer parts of their external and inner lives at incredibly high-speed across the planet.

YAT SIU, COFOUNDER AND EXECUTIVE CHAIRMAN OF GAMING AND BLOCKCHAIN COMPANY ANIMOCA BRANDS

Reality will exist on a spectrum ranging from physical to virtual (VR), but a significant chunk of our time will be spent somewhere between those extremes, in some form of augmented reality (AR). Augmented reality will be a normal part of daily life. Virtual companions will provide information, commentary, updates and advice on matters relevant to you at that point in time, including your assets and activities, in both virtual and real spaces.

TIMONI WEST, VP OF AUGMENTED AND VIRTUAL REALITY, UNITY:

I think we can all agree our initial dreams of a fully immersive, separate digital world is not only unrealistic, but maybe not what we actually want. So I’ve started defining the metaverse differently to capture the zeitgeist: we’re entering an era where every computer we interact with, big or small, is increasingly world-aware. They can recognize faces, voices, hands, relative and absolute position, velocity, and they can react to this data in a useful way. These contextually aware computers are the path to unlocking ambient computing: where computers fade from the foreground to the background of everyday, useful tools. The metaverse is less of a ‘thing’ and more of a computing era. Contextual computing enables a multitude of new types of interactions and apps: VR sculpting tools and social hangouts, self-driving cars, robotics, smart homes.

SAM HAMILTON, HEAD OF COMMUNITY & EVENTS FOR BLOCKCHAIN-BASED METAVERSE CREATOR THE DECENTRALAND FOUNDATION

NITZAN MEKEL-BOBROV, CHIEF AI OFFICER, EBAY

as carbon is to the organic world, AI will be both the matrix that provides the necessary structural support and the material from which digital representation will be made. Of all the ways in which AI will shape the form of the metaverse, perhaps most essential is the role it will play in the physical-digital interface. Translating human actions into digital input–language, eye movement, hand gestures, locomotion–these are all actions which AI companies and researchers have already made tremendous progress on.

HUGO SWART, VICE PRESIDENT AND GM OF XR, QUALCOMM

Qualcomm views the metaverse as an ever-present spatial internet complete with personalized digital experiences that spans the physical and virtual worlds, where everything and everyone can communicate and interact seamlessly.

IBRAHIM BAGGILI, FOUNDING DIRECTOR, CONNECTICUT INSTITUTE OF TECHNOLOGY AT UNIVERSITY OF NEW HAVEN

As an active researcher in the security and forensics of VR systems, should the metaverse come into existence, we should explore and hypothesize the ways it will be misused.

CHITRA RAGAVAN, CHIEF STRATEGY OFFICER AT BLOCKCHAIN DATA ANALYTICS COMPANY ELEMENTUS 

I picture [the metaverse] almost like The Truman Show. Only, instead of walking into a television set, you walk into the internet and can explore any number of different realities

JOHN HANKE, CEO OF POKÉMON GO CREATOR NIANTIC

We imagine the metaverse as reality made better, a world infused with magic, stories, and functionality at the intersection of the digital and physical worlds.

CAROLINA ARGUELLES NAVAS, GLOBAL PRODUCT MARKETING, AUGMENTED REALITY, SNAP

Rather than building the “metaverse,” a separate and fully virtual reality that is disconnected from the physical world, we are focused on augmenting reality, not replacing it. We believe AR–or computing overlaid on the world around us–has a smoother path to mass adoption, but will also be better for the world than a fully virtual world.

URHO KONTTORI, COFOUNDER AND CTO OF AR/VR HEADSET MAKER VARJO

In the reality-based metaverse, we will be able to more effectively design products of the future, meet and collaborate with our colleagues far away, and experience any remote place in real-time.

ATHERINE ALLEN, CEO OF IMMERSIVE TECH RESEARCH CONSULTANCY LIMINA IMMERSIVE

I prefer to think of the metaverse as simply bringing our bodies into the internet.

BRANDS IN THE METAVERSE

VISHAL SHAH, VP OF METAVERSE, FACEBOOK

The metaverse isn’t just VR! Those spaces will connect to AR glasses and to 2D spaces like Instagram. And most importantly, there will be a real sense of continuity where the things you buy are always available to you.

SAYON DEB, MANAGER, MARKET RESEARCH, CONSUMER TECHNOLOGY ASSOCIATION

At its core will be a self-contained economy that allows individuals and businesses to create, own or invest in a range of activities and experiences.

NANDI NOBELL, SENIOR ASSOCIATE AT GLOBAL ARCHITECTURE AND DESIGN FIRM CALLISONRTKL

the metaverse experience can be altered from the individual’s point of view and shaped or curated by any number of agents—whether human or A.I. In that sense, the metaverse does not have an objective look beyond its backend. In essence, the metaverse, together with our physical locations, forms a spatial continuum.

NICK CHERUKURI, CEO AND FOUNDER OF MIXED REALITY GLASSES MAKER THIRDEYE

The AR applications of the metaverse are limitless and it really can become the next great version of the internet.

SAM TABAR, CHIEF STRATEGY OFFICER, BITCOIN MINING COMPANY BIT DIGITAL

It seems fair to predict that the actual aesthetic of any given metaverse will be determined by user demand. If users want to exist in a gamified world populated by outrageous avatars and fantastic landscapes then the metaverse will respond to that demand. Like all things in this world the metaverse will be market driven

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More on meta-verse in this blog
https://blog.stcloudstate.edu/ims?s=metaverse

New Elements of Digital Transformation

The New Elements of Digital Transformation

https://sloanreview-mit-edu.cdn.ampproject.org/c/s/sloanreview.mit.edu/article/the-new-elements-of-digital-transformation/amp

2014, “The Nine Elements of Digital Transformation

It requires that companies become what we call digital masters. Digital masters cultivate two capabilities: digital capability, which enables them to use innovative technologies to improve elements of the business, and leadership capability, which enables them to envision and drive organizational change in systematic and profitable ways. Together, these two capabilities allow a company to transform digital technology into business advantage.

We found that the elements of leadership capability have endured, but new elements of digital capability have come to the fore.

While strong leadership capability is even more essential than ever, its core elements — vision, engagement, and governance — are not fundamentally changed, though they are informed by recent innovations. The elements of digital capability, on the other hand, have been more profoundly altered by the rapid technological advances of recent years.

The New Elements of Digital Capability

Experience design: Customer experience has become the ultimate battleground for many companies and brands.

Customer intelligence: Integrating customer data across silos and understanding customer behavior

Emotional engagement: Emotional connections with customers are as essential as technology in creating compelling customer experiences.

As ever, well-managed operations are essential to converting revenue into profit, but now we’re seeing a shift in the focus of digital transformation in this arena.

Core process automation: Amazon’s distribution centers deliver inventory to workers rather than sending workers to collect inventory. Rio Tinto, an Australian mining company, uses autonomous trucks, trains, and drilling machinery so that it can shift workers to less dangerous tasks, leading to higher productivity and better safety.

Connected and dynamic operations: Thanks to the growing availability of cheap sensors, cloud infrastructure, and machine learning, concepts such as Industry 4.0, digital threads, and digital twins have become a reality. Digital threads connecting machines, models, and processes provide a single source of truth to manage, optimize, and enhance processes from requirements definition through maintenance.

Data-driven decision-making: from backward-looking reports to real-time data. Now, connected devices, new machine learning algorithms, smarter experimentation, and plentiful data enable more-informed decisions.

Transforming Employee Experience

Augmentation: Warnings that robots will replace humans have given way to a more nuanced and productive discussion.
Workers in Huntington Ingalls Industries’ shipyard use augmented reality to help build giant complex vessels such as aircraft carriers and submarines. They can “see” where to route wires or pipes or what is behind a wall before they start drilling into it.

Future-readying: providing employees with the skills they need to keep up with the pace of change. In the past few years, this has given rise to new models of managing learning and development in organizations, led by a new kind of chief learning officer, whom we call the transformer CLO

Flexforcing: To respond to fast-paced digital opportunities and threats, companies also need to build agility into their talent sourcing systems. As automation and AI applications take over tasks once performed by humans, some companies are multiskilling employees to make the organization more agile.

Transforming Business Models

three elements supporting business model transformation: digital enhancements, information-based service extensions, and multisided platforms.

 

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