The ACM/IEEE Joint Conference on Digital Libraries in 2018 (JCDL 2018L: https://2018.jcdl.org/) will be held in conjunction with UNT Open Access
Symposium 2018 (https://openaccess.unt.edu/symposium/2018) on June 3 – 6, 2018
in Fort Worth, Texas, the rustic and artistic threshold into the American
West. JCDL welcomes interesting submissions ranging across theories, systems,
services, and applications. We invite those managing, operating, developing,
curating, evaluating, or utilizing digital libraries broadly defined, covering
academic or public institutions, including archives, museums, and social
networks. We seek involvement of those in iSchools, as well as working in
computer or information or social sciences and technologies. Multiple tracks
and sessions will ensure tailoring to researchers, practitioners, and diverse
communities including data science/analytics, data curation/stewardship, information retrieval, human-computer interaction, hypertext (and Web/network science), multimedia, publishing, preservation, digital humanities, machine learning/AI, heritage/culture, health/medicine, policy, law, and privacy/ intellectual property.
General Instructions on submissions of full papers, short papers, posters and
demonstrations, doctoral consortium, tutorials, workshops, and panels can be
found at https://2018.jcdl.org/general_instructions. Below are the submission
deadlines:
• Jan. 15, 2018 – Tutorial and workshop proposal submissions
• Jan. 15, 2018 – Full paper and short paper submissions
• Jan. 29, 2018 – Panel, poster and demonstration submissions
• Feb. 1, 2018 – Notification of acceptance for tutorials and workshops
• Mar. 8, 2018 – Notification of acceptance for full papers, short papers,
panels, posters, and demonstrations
• Mar. 25, 2018 – Doctoral Consortium abstract submissions
• Apr. 5, 2018 – Notification of acceptance for Doctoral Consortium
• Apr. 15, 2018 – Final camera-ready deadline for full papers, short papers,
panels, posters, and demonstrations
Minutes from November 29 meeting . (all documents arework in progress)
Consultation groups:
CATT (mixed of collective bargaining and various academic areas), student technology groups, TPR (Technological and Pedagogical Roundtable) – tech issue specific to faculty. not tech admin but broad issues.
Student tech fee commitee, ITS staff, SCSU Divisions (?); Management Team, MN stte system office / CIO; It external review members (?); STCC IT
More on charge of these groups
IT Strategic Planning – Lisa Foss, Phil Thorson, Shelly Mumm, Mike Freer, LaVonne, Joe Ben ueckler
Strategic Planning Team meets in the summer with the Management Team.
System office did the Educause survey w faculty and students. Horizon Report
D2L move to the cloud, domain change.
Lisa Foss; mini swats from SCSU deans . summer shaped a “certain perspectives”
2010 strategic vision for IT (30+ pages) never got off the ground, but the teams are the same. An external 2012 consultant (Koludes COmpany)
IT assessment group (?)
latest discussions: how to consult better campus users (Tom ?)
SCSU Strategic Plan as a template. Using similar/same goals and objectives: 1. engage students. objectives (come from the SCSU plan) a. integrate student learning and support. Strategy and source. This is on the Sharepoint site (Phil Thorson email
SCSU Tech Plan Engaged Students Objectives: what people will be able to do, if the plan is successful. 1.D. change from Engagement to Student Belonging. Analytics and Social Media is in the objectives. the objectives as they are too broad. I understand the need to keep them broad, but as they are they are too broad, which poses the danger of each stakeholder to interpret differently.
training and instruction what is the state and what is the plan. instead of department, can we build a network of people spread across departments. nationally 92% ecar survey https://www.educause.edu/ecar
engaged campus strategic priority. comprehensive technology training (?). the text reads as it is pertaining to IT staff only. Is it? if it is the entire campus, why does not mention it. so it is IT only at this point and needs to be reworded to be clear that included the entire campus. 2010 plan did not think about all different issues of technology in each department. one size fit the entire campus.
Engaged Communities: four campuses – Alnwick, Plymouth, SC and online
technology consortia: how to partner, lead etc
serving community members as community patrons.
what are the tactics comes late. aspirational
what the roadblocks. innovation
efficiencies, automation.
Tom (the faculty from the School of Health and Human Services – telemedicine) Janet Tilstred Communication Disorders
Phil Thorson: how is risk management fit in the complex issues.
Next step: what is this plan mean for COSE, for the other schools?
PALS is housed in Mankato, 40+ years, shared by all MnSCU institutions. smaller libraries with smaller staff benefit.
Funding: Centrally from the Chancellor Office and privately.
Ex Libris. Alma (management software) discovery software is Primo. Implementation from Sept 2017 to 2019
value-added services? A value–added service (VAS) is a popular telecommunications industry term for non-coreservices, or, in short, all services beyond standard voice calls and fax transmissions. However, it can be used in any service industry, for services available at little or no cost, to promote their primary business.
one search point; phys + electr; integrated into central system; academic resources available in central index; analytics and reporting; library consortia
EZ Proxy – provides access to library resources off campus
Islandora – open source digital asset management solution tha preserves, manages, and provide access to docs, unique history (photos, publications); research, other resources
Islandora is considered for OER, link to course materials through D2L
Leganto – expensive ExLibris for D2L integration
+++++++++++++
Thurs, Nov 30 – continuation from Tues, Nov 28
Islandora. open source digital assessment tool. STCC is using Islandora
Primo is the discovery tool for campus only w subscription. PALS does not fund Primo. PALS does it through state-wide dbases.
ILL of electronic resources among campuses; the new system is making it easier.
your comments about the new system making electronic resources more available : does it mean that I will not have to go through my campus ILL persona can “borrow” directly? or it is too optimistic to expect that?
Stephen Kelly: Tim Anderson has shared with me some thoughts on how Islandora can assist with archiving Open Educational Resources (OERs), but could you comment further on that for the benefit of everyone on the call? Answer: safe place to save OER. Drupal-based front end. Customizable. What is the connection to Primo
Stephen Kelly: Could it facilitate easier sharing of resources between institutions? For instance, if an OER was created at one institution and uploaded to Islandora, could it easily be populated for every other institution to access the materials as well?
Piggybacking on Stephen Kelly: are the account permissions similar to the average social media tool, where faculty can decide how “wide” the permission of h/er OER product is? E.g. a blog or YouTube / Kaltura can have: private / unlisted / public levels. Does Islandora function the same?
Media literacy. Differentiated instruction. Media literacy guide.
Fake news as part of media literacy. Visual literacy as part of media literacy. Media literacy as part of digital citizenship.
Web design / web development
the roles of HTML5, CSS, Java Script, PHP, Bootstrap, JQuery, React and other scripting languages and libraries. Heat maps and other usability issues; website content strategy. THE MODEL-VIEW-CONTROLLER (MVC) design pattern
Social media for institutional use. Digital Curation. Social Media algorithms. Etiquette Ethics. Mastodon
I hosted a LITA webinar in the fall of 2016 (four weeks); I can accommodate any information from that webinar for the use of the IM students
OER and instructional designer’s assistance to book creators.
I can cover both the “library part” (“free” OER, copyright issues etc) and the support / creative part of an OER book / textbook
“Big Data.” Data visualization. Large scale visualization. Text encoding. Analytics, Data mining. Unizin. Python, R in academia.
I can introduce the students to the large idea of Big Data and its importance in lieu of the upcoming IoT, but also departmentalize its importance for academia, business, etc. From infographics to heavy duty visualization (Primo X-Services API. JSON, Flask).
NetNeutrality, Digital Darwinism, Internet economy and the role of your professional in such environment
I can introduce students to the issues, if not familiar and / or lead a discussion on a rather controversial topic
Digital assessment. Digital Assessment literacy.
I can introduce students to tools, how to evaluate and select tools and their pedagogical implications
Wikipedia
a hands-on exercise on working with Wikipedia. After the session, students will be able to create Wikipedia entries thus knowing intimately the process of Wikipedia and its information.
Effective presentations. Tools, methods, concepts and theories (cognitive load). Presentations in the era of VR, AR and mixed reality. Unity.
I can facilitate a discussion among experts (your students) on selection of tools and their didactically sound use to convey information. I can supplement the discussion with my own findings and conclusions.
eConferencing. Tools and methods
I can facilitate a discussion among your students on selection of tools and comparison. Discussion about the their future and their place in an increasing online learning environment
Digital Storytelling. Immersive Storytelling. The Moth. Twine. Transmedia Storytelling
I am teaching a LIB 490/590 Digital Storytelling class. I can adapt any information from that class to the use of IM students
VR, AR, Mixed Reality.
besides Mark Gill, I can facilitate a discussion, which goes beyond hardware and brands, but expand on the implications for academia and corporate education / world
Instructional design. ID2ID
I can facilitate a discussion based on the Educause suggestions about the profession’s development
Microcredentialing in academia and corporate world. Blockchain
IT in K12. How to evaluate; prioritize; select. obsolete trends in 21 century schools. K12 mobile learning
Podcasting: past, present, future. Beautiful Audio Editor.
a definition of podcasting and delineation of similar activities; advantages and disadvantages.
Gender, race and age in education. Digital divide. Xennials, Millennials and Gen Z. generational approach to teaching and learning. Young vs old Millennials. Millennial employees.
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.
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
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.
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
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
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
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
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
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
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
This 90 minute webinar will bring participants up to speed on the current state of altmetrics, and focus in on changes across the scholarly ecosystem. Through sharing of use cases, tips, and open discussion, this session will help participants to develop a nuanced, strategic framework for incorporating and promoting wider adoption of altmetrics throughout the research lifecycle at their institution and beyond.
Definition by National Information Standards Organization NISO (http://www.niso.org/home/): Altmetrics is a broad term that encapsulates the digital collection, creation, and use of multiple forms of assessment that are derived from activity and engagement among diverse stakeholders and scholarly outputs in the research ecosystem.”
Altmetrics are data that help us understand how often and by whom research objects are discussed, shared, and used on the social Web.”
According to the email below, library faculty are asked to provide their feedback regarding the qualifications for a possible faculty line at the library.
In the fall of 2013 during a faculty meeting attended by the back than library dean and during a discussion of an article provided by the dean, it was established that leading academic libraries in this country are seeking to break the mold of “library degree” and seek fresh ideas for the reinvention of the academic library by hiring faculty with more diverse (degree-wise) background.
Is this still the case at the SCSU library? The “democratic” search for the answer of this question does not yield productive results, considering that the majority of the library faculty are “reference” and they “democratically” overturn votes, who see this library to be put on 21st century standards and rather seek more “reference” bodies for duties, which were recognized even by the same reference librarians as obsolete.
It seems that the majority of the SCSU library are “purists” in the sense of seeking professionals with broader background (other than library, even “reference” skills).
In addition, most of the current SCSU librarians are opposed to a second degree, as in acquiring more qualification, versus seeking just another diploma. There is a certain attitude of stagnation / intellectual incest, where new ideas are not generated and old ideas are prepped in “new attire” to look as innovative and/or 21st
Last but not least, a consistent complain about workforce shortages (the attrition politics of the university’s reorganization contribute to the power of such complain) fuels the requests for reference librarians and, instead of looking for new ideas, new approaches and new work responsibilities, the library reorganization conversation deteriorates into squabbles for positions among different department.
Most importantly, the narrow sightedness of being stuck in traditional work description impairs most of the librarians to see potential allies and disruptors. E.g., the insistence on the supremacy of “information literacy” leads SCSU librarians to the erroneous conclusion of the exceptionality of information literacy and the disregard of multi[meta] literacies, thus depriving the entire campus of necessary 21st century skills such as visual literacy, media literacy, technology literacy, etc.
Simultaneously, as mentioned above about potential allies and disruptors, the SCSU librarians insist on their “domain” and if they are not capable of leading meta-literacies instructions, they would also not allow and/or support others to do so.
Considering the observations above, the following qualifications must be considered:
According to the information in this blog post: https://blog.stcloudstate.edu/ims/2016/06/14/technology-requirements-samples/
for the past year and ½, academic libraries are hiring specialists with the following qualifications and for the following positions (bolded and / or in red). Here are some highlights: Positions
digital humanities
Librarian and Instructional Technology Liaison
library Specialist: Data Visualization & Collections Analytics
Qualifications
Advanced degree required, preferably in education, educational technology, instructional design, or MLS with an emphasis in instruction and assessment.
Programming skills – Demonstrated experience with one or more metadata and scripting languages (e.g.Dublin Core, XSLT, Java, JavaScript, Python, or PHP)
Data visualization skills
multi [ meta] literacy skills
Data curation, helping students working with data
Experience with website creation and design in a CMS environment and accessibility and compliance issues
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)
Bilingual
Provides and develops awareness and knowledge related to digital scholarship and research lifecycle for librarians and staff.
Experience developing for, and supporting, common open-source library applications such as Omeka, ArchiveSpace, Dspace,
Responsibilities Establishing best practices for digital humanities labs, networks, and services
Assessing, evaluating, and peer reviewing DH projects and librarians
Actively promote TIGER or GRIC related activities through social networks and other platforms as needed.
Coordinates the transmission of online workshops through Google HangoutsScript metadata transformations and digital object processing using BASH, Python, and XSLT
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.
In response to the form attached to the Friday, September 29, email regarding St. Cloud State University Library Position Request Form:
Title
Digital Initiatives Librarian
Responsibilities:
TBD, but generally:
– works with faculty across campus on promoting digital projects and other 21st century projects. Works with the English Department faculty on positioning the SCSU library as an equal participants in the digital humanities initiatives on campus
Works with the Visualization lab to establish the library as the leading unit on campus in interpretation of big data
Works with academic technology services on promoting library faculty as the leading force in the pedagogical use of academic technologies.
Quantitative data justification
this is a mute requirement for an innovative and useful library position. It can apply for a traditional request, such as another “reference” librarian. There cannot be a quantitative data justification for an innovative position, as explained to Keith Ewing in 2015. In order to accumulate such data, the position must be functioning at least for six months.
Qualitative justification: Please provide qualitative explanation that supports need for this position.
Numerous 21st century academic tendencies right now are scattered across campus and are a subject of political/power battles rather than a venue for campus collaboration and cooperation. Such position can seek the establishment of the library as the natural hub for “sandbox” activities across campus. It can seek a redirection of using digital initiatives on this campus for political gains by administrators and move the generation and accomplishment of such initiatives to the rightful owner and primary stakeholders: faculty and students.
Currently, there are no additional facilities and resources required. Existing facilities and resources, such as the visualization lab, open source and free application can be used to generate the momentum of faculty working together toward a common goal, such as, e.g. digital humanities.
Significant Challenges Impeding Technology Adoption in K–12 Education
Improving Digital Literacy.
Schools are charged with developing students’ digital citizenship, ensuring mastery of responsible and appropriate technology use, including online etiquette and digital rights and responsibilities in blended and online learning settings. Due to the multitude of elements comprising digital literacy, it is a challenge for schools to implement a comprehensive and cohesive approach to embedding it in curricula.
Rethinking the Roles of Teachers.
Pre-service teacher training programs are also challenged to equip educators with digital and social–emotional competencies, such as the ability to analyze and use student data, amid other professional requirements to ensure classroom readiness.
p. 28 Improving Digital Literacy
Digital literacy spans across subjects and grades, taking a school-wide effort to embed it in curricula. This can ensure that students are empowered to adapt in a quickly changing world
Education Overview: Digital Literacy Has to Encompass More Than Social Use
The American Library Association (ALA) defines digital literacy as “the ability to use information and communication technologies to find, evaluate, create, and communicate or share information, requiring both cognitive and technical skills.” While the ALA’s definition does align to some of the skills in “Participate”, it does not specifically mention the skills related to the “Open Practice.”
The library community’s digital and information literacy standards do not specifically include the coding, revision and remixing of digital content as skills required for creating digital information. Most digital content created for the web is “dynamic,” rather than fixed, and coding and remixing skills are needed to create new content and refresh or repurpose existing content. Leaving out these critical skills ignores the fact that library professionals need to be able to build and contribute online content to the ever-changing Internet.
p. 30 Rethinking the Roles of Teachers
Teachers implementing new games and software learn alongside students, which requires
a degree of risk on the teacher’s part as they try new methods and learn what works
p. 32 Teaching Computational Thinking
p. 36 Sustaining Innovation through Leadership Changes
shift the role of teachers from depositors of knowledge to mentors working alongside students;
p. 38 Important Developments in Educational Technology for K–12 Education
Consumer technologies are tools created for recreational and professional purposes and were not designed, at least initially, for educational use — though they may serve well as learning aids and be quite adaptable for use in schools.
Drones > Real-Time Communication Tools > Robotics > Wearable Technology
Digital strategies are not so much technologies as they are ways of using devices and software to enrich teaching and learning, whether inside or outside the classroom.
> Games and Gamification > Location Intelligence > Makerspaces > Preservation and Conservation Technologies
Enabling technologies are those technologies that have the potential to transform what we expect of our devices and tools. The link to learning in this category is less easy to make, but this group of technologies is where substantive technological innovation begins to be visible. Enabling technologies expand the reach of our tools, making them more capable and useful
Affective Computing > Analytics Technologies > Artificial Intelligence > Dynamic Spectrum and TV White Spaces > Electrovibration > Flexible Displays > Mesh Networks > Mobile Broadband > Natural User Interfaces > Near Field Communication > Next Generation Batteries > Open Hardware > Software-Defined Networking > Speech-to-Speech Translation > Virtual Assistants > Wireless Powe
Internet technologies include techniques and essential infrastructure that help to make the technologies underlying how we interact with the network more transparent, less obtrusive, and easier to use.
Bibliometrics and Citation Technologies > Blockchain > Digital Scholarship Technologies > Internet of Things > Syndication Tools
Learning technologies include both tools and resources developed expressly for the education sector, as well as pathways of development that may include tools adapted from other purposes that are matched with strategies to make them useful for learning.
Adaptive Learning Technologies > Microlearning Technologies > Mobile Learning > Online Learning > Virtual and Remote Laboratories
Social media technologies could have been subsumed under the consumer technology category, but they have become so ever-present and so widely used in every part of society that they have been elevated to their own category.
Crowdsourcing > Online Identity > Social Networks > Virtual Worlds
Visualization technologies run the gamut from simple infographics to complex forms of visual data analysis
3D Printing > GIS/Mapping > Information Visualization > Mixed Reality > Virtual Reality
p. 46 Virtual Reality
p. 48 AI
p. 50 IoT
+++++++++++++++
more on NMC Horizon Reports in this IMS blog
how data is produced, collected and analyzed. make accessible all kind of data and info
ask good q/s and find good answers, share finding in meaningful ways. this is where digital literacy overshadows information literacy and this the fact that SCSU library does not understand; besides teaching students how to find and evaluate data, I also teach them how to communicate effectively using electronic tools.
connecting people tools and resources and making it easier for everybody. building collaborative, open and interdisciplinary
robust data computational literates. developing workshops, project and events to practice new skills. to position the library as the interdisciplinary nexus
what are data: definition. items of information, facts, traces of content and form. higher level, conception discussion about data in terms of social effects: matadata capturing information about the world, social political and economic changes. move away the mystic conceptions about data. nothing objective about data.
the emergence of IoT – digital meets physical. cyber physical systems. smart objects driven by industry. . proliferation of sensor and device – smart devices.
what does privacy looks like ? what is netneutrality when IoT? library must restructure : collaborate across institutions about collections of data in opien and participatory ways. put IoT in the hands of make and break things (she is maker space aficionado)
make and break things hackathons – use cheap devices such as Arduino and Pi.
data literacy programs with higher level conception exploration; libraries empower the campus in data collection. data science norms, store and share data to existing repositories and even catalogs. commercial services to store and connect data, but very restrictive and this is why libraries must be involved.
linked data and dark data
linked data – draw connections around online data most of the data are locked. linked data uses metadata to link related information in ways computers can understand.
libraries take advantage of link data. link data opportunity for semantics, natural language processing etc. if hidden data is relative to our communities, it is a library responsibility to provide it. community data practitioners
dark data
massive data, which cannot be analyzed by relational processing. data not yield significant findings. might be valuable for researchers: one persons trash is another persons’ treasure. preserving data and providing access to info. collaborate with researchers across disciplines and assist decide what is worth keeping and what discarding and how to study.
rich learning experience working with lined and dark data enable fresh perspective and learning how to work with data architecture. data literacy programming.
in context of data is different from open source and open projects. the social side of data science . advising researchers on navigation data, ethical compilations.
open science movement .https://cos.io/ pushing beyond licences and reframe, position ourselves as collaborators
analysis and publishing ; use tools that can be shared and include data, code and executable files.
reproducibility and contestability https://www.lib.ncsu.edu/events/series/summer-of-open-science
In the age of Big Data, there is an abundance of free or cheap data sources available to libraries about their users’ behavior across the many components that make up their web presence. Data from vendors, data from Google Analytics or other third-party tracking software, and data from user testing are all things libraries have access to at little or no cost. However, just like many students can become overloaded when they do not know how to navigate the many information sources available to them, many libraries can become overloaded by the continuous stream of data pouring in from these sources. This session will aim to help librarians understand 1) what sorts of data their library already has (or easily could have) access to about how their users use their various web tools, 2) what that data can and cannot tell them, and 3) how to use the datasets they are collecting in a holistic manner to help them make design decisions. The presentation will feature examples from the presenters’ own experience of incorporating user data in decisions related to design the Bethel University Libraries’ web presence.
silos, IT barrier, focusing on student success, retention, server space is cheap, if
promotion and tenure for faculty can include incentive to work with the librarian
lack of fear, changing the mindset.
deep collaboration both within and cross-consortia
don’t rely on vendor solutions. changing mindset
development = oppty (versus development as “work”)
private higher education is PALNI
3d virtual picture of disastrous areas. unlock the digital information to be digitally accessible to all people who might be interested.
they opened the maps of Katmandu for the local community and they were coming up with the strategies to recover. democracy in action
i can’t stop thinking that the keynote speaker efforts are mere follow up of what Naomi Klein explains in her Shock Doctrine: http://www.naomiklein.org/shock-doctrine: a government country seeks reasons to destroy another country or area and then NGOs from the same country go to remedy the disasters
A question from a librarian from the U about the use of drones. My note: why did the SCSU library have to give up its drone?
Douglas County Library model. too resource intensive to continue
Marmot Library Network
ILS integrated library system – shared with other counties, same sever for the entire consortium. they have a programmer, viewfind, open source, discovery player, he customized viewfind community to viewfind plus. instead of using the ILS public access catalogue, they are using the Vufind interface
Caiifa Enki. public library – single access collection. they purchase ebooks from the publisher and they are using also the viewfind interface. but not integrated with the library catalogs. Kansas public library went from OverDrive to Viewfind. CA State library is funding for the time being this effort.
types of content – publisher will not understand issue, which clear for librarians
PDF and epub formats
purchase content –
title by title selection – academia is tired of selections. although it is intended to buy also collections
library – owned ( and shared collections)
host content from libraries – papers in academic lib, genealogy in pub lib.
options in license models .
e resource content. not only ebooks, after it is taken care of, add other types of digital objects.
instead of replicate, replacement of the commercial aggregators,
Amigos Shelf interface is the product of the presenter
instead of having a young reader collection as SCSU has on the third floor, an academic library is outsourcing through AMigos shelf ebooks for young readers
Harper Collins is too cumbersome and the reason to avoid working with them.
security issues. some of the material sent over ftp and immediately moved to sftp
decisions – use of internal resources only, if now – amazon
programmer used for the pilot. contracted programmers. lack of the ability to see the large picture. eventually hired a full time person, instead of outsourcing. RDA compliant MARC.
ONIX, spreadsheet MARC.
Decision about who to start with : public or academic.
attempt to keep pricing down –
own agreement with the customers, separate from the agreement with the Publisher
current development: web-based online reading, shared-consortial collections and SIP2 authentication
Library marketers crave media attention and coverage, but most don’t know how to get it. The first step is having a Press Room as part of your library’s website. This workshop, led by a member of the media who’s also a library marketing expert, shows you how to build a Press Room that works. It includes how your library benefits from having an online Press Room, even if you don’t have a marketing department; where it belongs in your website hierarchy; what content members of the press expect to find there; SEO basics and PR tactics to lead reporters to your online Press Room; why building relationships with the media is vital; how press coverage affects your library’s usage, funding, brand recognition, and position in the community. Help ensure positive coverage by adding this strategic tool to your website.
In this half-day workshop, a former advertising executive and trainer of strategic storytelling in marketing shares secrets on how to create video that has an impact on your community. Join her to shoot, edit, and polish a video while gathering tips, techniques, and strategies to create your own video-a medium which grabs communities in exciting new ways!
W10: Implementing an Internet of Things Infrastructure & Apps
9:00 a.m. – 12:00 p.m.
May Chang, Assistant Director, LibraryTechnology, East Carolina University
Mehdi Mohammadi, Graduate Assistant, Western Michigan University
The Internet of Things (IoT) is becoming widespread in academia as well as industry. It refers to connecting smart objects with built-in unique identifiers and sensors to communicate with each other autonomously. This enables actionable insights and ultimately makes the environment around us smarter. This workshop looks at how libraries can incorporate the IoT and reviews different aspects of developing an IoT infrastructure and creating your own application. It is based on four layers of IoT application architecture: the physical layer, the communications layer, application and services layer, and data analytics. Speakers discuss the potentials and challenges of IoT applications, including the footprint of IoT applications, i.e., a high volume of sensory data, the tools and methods for data analytics. As a case study, they focus on location-aware applications using iBeacons and smartphone sensors to show how all the IoT elements work together. Gain a better understanding of the usefulness of IoT in libraries, learn the main elements and underlying technologies of IoT applications, and understand the difference between a wide range of IoT devices, protocols and technologies to choose the right ones for your IoT application. Get budget and resource estimates and more. Come with a basic understanding of JavaScript/ HTML5/ CSS and your laptop for hands-on development practice. An instruction document will be provided for the attendees to prepare their system before the workshop.
W15: Tech Trends for Libraries in 2017 & Beyond
1:00 p.m. – 4:00 p.m.
David Lee King, Digital Services Director, Topeka & Shawnee County Public Library and Publisher, davidleeking.com
Technology has changed the face of libraries and is continuing to change how we work and how we deliver services to customers. This workshop introduces emerging technology trends and shows how those trends are reshaping library services. Examples are provided of how to incorporate these evolving trends into libraries. Attendees learn what trends to look for, find out the difference between a technology trend and a fad, and get ideas on how their library can respond to technology as it emerges.
W16: UX Design for Broader Discovery
1:00 p.m. – 4:00 p.m.
Stephanie Rosso, Principal Web Developer, Hennepin County Library
Amy Luedtke, Senior Librarian, Information Programs and Services, Hennepin County Library
While patrons have embraced using online technology to access their public library, most of these interactions are limited to borrowing transactions. If libraries are to be truly relevant in the digital world, we need to nudge patrons out of the well-worn pattern of log-in/transact /log-out and find ways to get them to linger long enough to discover the richness the library has to offer beyond borrowing items, while offering them opportunities to add their own voice to the library’s online community. This workshop explores design patterns and techniques for introducing content to patrons at appropriate moments in their learned workflows. It considers how to encourage patrons to add their voice to the library community and overcome concerns about privacy and security. It shares research and experience from BiblioCommons and Hennepin County Public Library’s efforts and looks at analogs from other domains. Workshop participants will be asked to participate actively in a hands-on session to solve a specific design challenge in teams.
My note: Ha. Even the public library understands that service goes beyond “borrowing items” and must have “patrons to add their voice.” Only in the academic library, prevails the opinion that librarians are those omnipotent and all-knowing lecturing types.
B103: Website Redesign: Techniques & Tools
1:15 p.m. – 2:00 p.m.
Dana Haugh, Web Services Librarian, Stony Brook University
Roy Degler, Associate Professor, Digital Library Services, Digital Resources and Discovery Services, Oklahoma State University
Join three web experts to learn about tips, tools, and techniques for taking the pain out of website redesigns. Haugh provides advice on the visual design of your next site and shows some examples of library web redesigns. Degler takes a look at why many libraries are using popular, free, CSS-based frameworks such as Bootstrap; explains how the grid layout works; and shows how the built-in responsive design layouts can deliver a site that works on desktop, smartphones, and tablets.Often the biggest challenge in redesign isn’t the visual design, content management system or coding. It’s the people and politics. Everyone thinks they know what the library website should look like, but no two people—let alone groups—can ever agree. How do you move ahead with a library redesign when you’re facing conflicting demands from the administration, co-workers, users, and stakeholders? Mitchell tackles this challenge head on and points out the weapons that we have at hand—from data to documentation; and discusses how to wield those weapons effectively to win (almost) any fight in order to build a great website. Grab lots of insights and ideas from this experienced panel.
C102: Digital Literacy & Coding Program Models
11:15 a.m. – 12:00 p.m.
Karen Walker, E-Services & Digital Access Manager, Jacksonville Public Library
Brandy McNeil, Associate Director – Tech Education & Training, The New York Public Library
Steven Deolus, Technology Training Program Coordinator, TechConnect (Technology Training Program Department), The New York Public Library
This session looks at how one library created a technology class and programming model that spans a 21-branch, 844-square-mile library system. It discusses mobile classrooms and how Chromebooks, MacBooks, tablets, and other equipment are used to create “classrooms” throughout the system. It shares how the library is focusing on members and programming for the community, for instance, the development of Spanish language, 50+ and immigrant/refugee programming. It looks at developing new programs and instructors using the 3D model from printer to pens, from tablets to coding, from core expertise to everyone. NYPL speakers discuss how coding is the new black! They discuss how to launch a coding program at your library, how to expand the age range of current coding programs, how to promote events related to your program to gain participants, how to get staff buy-in, how to educate staff, and how to create partnerships with some of the biggest names in the game. The NYPL Tech- Connect program will help you plan out all your needs to take your existing or non-existing coding programs further.
My note: one more proof that digital literacy is not “information literacy dressed in the new verbal cloth” of “digital literacy,” but entails way more topics, skills and knowledge. Information Literacy is a 1990s concept. Time to upgrade to 2016 concepts and recognize that digital literacy requires skills beyond handling information. Moreover, information today is way more complex then the skills being taught, since information from social media is more complex then information from news media and it entails technology skills, which one does not have to preside upon for handling news media
E104: From Textbook to Activism: Engaging Students in Social Issues They Care About
2:15 p.m. – 3:00 p.m.
Janie Pickett, Head Librarian, Eureka High School, Eureka, Mo.
Anna Gray, Social Studies Teacher, Eureka High School, Eureka, Mo.
recent collaborative effort between a high school social studies teacher and a school librarian transformed a “same-old” unit on social movements in the 20th century into a dynamic study of effective social activism—and how students can become effective activists. Using both primary and secondary resources, students learned to analyze social issues, then to identify the type of activism that proved effective for those issues. Next, students selected social situations important to them, analyzed the changes they sought to effect, and determined a means of activism to effect that change in practical—and often surprising—ways. The project’s design and implementation is straightforward and replicable. This session provides concrete steps to follow, specific patterns for locating learning resources, and reproducible forms that educators can carry back to their own campuses.
B202: Managing Tech & Innovation
11:45 a.m. – 12:30 p.m.
Jen Baum Sevec, Senior Metadata and Acquisitions Librarian, Library Of Congress
Brett Williams, Systems & Liaison Librarian, University of Toronto Mississauga
Sevec offers leaders at any level the opportunity to up their game by learning current management strategies for technology and innovation. Library leaders and constituents engage in the nearly constant interplay of enabling technology and innovations to explore a wealth of information and greater depth of data in the Information Age. A framework for managing this interplay is provided as well as an understanding of the dynamic lifecycle inherent in technological innovations and constituent demands. Williams provides an introduction to Wardley Value Chain Mapping, an innovative IT planning processes discussed by Simon Wardley on his blog Bits and Pieces. He shares specific examples of how this tool can be used by systems librarians, library administrators, and library IT decision makers.
B203: Finding Your Social Media Voice
1:45 p.m. – 2:30 p.m.
Meghan Kowalski, Head, Preservation, The Catholic University of America
Kirsten Mentzer, Technology Specialist, Northern Virginia Community College’s Medical Education Campus
Alexandra Radocchia Zealand, Web Editor, New Media Developer and Video Producer, Web Team, Arlington Public Library PLA, VLA, ALA, LLAMA
Lennea R. Bower, Program Specialist, Virtual Services, Montgomery County Public Libraries
This session provides an in-depth look at how to speak in social media. Each institution and organization’s social media accounts has a personality. How you say something is just as important as what you say and why you say it. Your voice on social media says a lot to your followers. If done well, your tone will help to attract and keep an audience. The wrong kind of voice will turn people away. Finding the right voice can be difficult and involves a lot of trial and error. Speakers provide tips for finding the right voice and presenting the best personality for your intended followers. Social media is no longer the “new kid on the block,” and the panel highlights the best ways to communicate content, being real, tone, and more. They showcase what kinds of tones can be used and how to find the “real voice” for your accounts, why those voices are (or are not) successful for those accounts; and how to make your chosen voice sustainable and consistent across your accounts.
C203: Migrating & Developing With Drupal
1:45 p.m. – 2:30 p.m.
June Yang, Senior Librarian, International Monetary Fund
Linda Venable, Systems Librarian, International Monetary Fund
Elizabeth Zoby, Information Specialist, PAE, National Institute of Corrections (NIC)
Billy Mathews, Web Developer, PAE, National Institute of Corrections (NIC)
Migrating to a new ILS system is not easy, and it is even more challenging when faced with a very tight deadline. Presenters share the recent experience of migrating from SirsiDynix Symphony to Alma within 5 months: what worked, what didn’t, lessons learned, and what to prepare in advance of the migration. They also share some insight about post migration work related to data cleanup, workflows review, etc. Zoby and Mathews share their development of the NIC micro-sites using Drupal, an open-source content management software, to create dynamic websites that make accessing material easy and user-friendly. Instead of having to download and shift through large PDF documents, users can access the content on easily searchable websites which can be edited by authorized users. See how the NIC Information Center is using these sites to help customers and the public access information in innovative ways.
D202: Funding Opps for Digital Library Initiatives
11:45 a.m. – 12:30 p.m.
Trevor Owens, Digital Archivist, Office of Strategic Initiatives, Library Of Congress
Nicole Ferraiolo, Program Officer, Scholarly Resources, Council on Library & Information Resources
Joel Wurl, Senior Program Officer, National Endowment for the Humanities
Discovering and deciphering guidelines for grant programs is a daunting and challenging process. This session provides an opportunity to directly hear from and ask questions about grant opportunities for digital libraries’ initiatives to program officers from different government and private funders. Following brief overviews of the relevant funding opportunities at their organizations, panelists discuss the kinds of projects that best fit their specific programs. Get suggestions on how to develop a competitive proposal and insights on the application and review process. Panelists consider themes and trends from the digital library projects that have received funding, such as digitization, open educational resources, linked data, crowdsourcing, open access publishing, emulation and virtualization, and data visualization. By bringing together representatives from different funders, this session offers a unique opportunity to connect directly with program officers and identify new opportunities and approaches for funding.
A301: Augmented Reality & Learning
10:45 a.m. – 11:30 a.m.
Ashley Todd-Diaz, Head, Special Collections & University Archives, Towson University
Earl Givens, Head, Systems & Technology, Catawba College
Art Gutierrez, Head, Technical Services, Emporia State University
Bethanie O’Dell, Virtual Learning Librarian, Emporia State University
Just when you thought the battle of augmented reality (AR) was over with Pokémon GO, libraries across the nation have been exploring additional AR options in order to meet the needs of the mobile learners walking through their doors. With the use of free AR software, four individuals team up to become the ultimate masters of AR. Hear from a panel of closely networked professionals, each with a unique story of embedding AR into specific library services directed for higher education. These stories range from embedding AR with liaison departments to incorporating AR into information literacy sessions (both online and face-to-face).
A304: Multimodal Learning: From Textbooks to Playlists
Colleges, universities, and libraries are considering adding video making, or visual literacy, as a core skill. Preparing individuals for a highly visual communication landscape requires critical thinking to offset consumerism as well as multimodal learning and cognitive skills. Researching, creating, and sharing video playlists are important ways to create personalized learning pathways and promote continuous learning. Explore a number of case studies that demonstrate the positive learning outcomes of multimodal learning in academic and corporate settings and discover how to create playlists that can be annotated, edited, and shared across teams.
B304: Raspberry Pi
2:45 p.m. – 3:30 p.m.
David Bennett, Systems Librarian, Robert Morris University
Raspberry Pi is an inexpensive computing tool that is ideal for new projects within libraries. It’s a powerful single board computer that plays high-definition video, yet it’s only the size of a credit card. The Raspberry Pi 3 was released in February of 2016, and the built-in networking options make it an exciting fit for library applications. Learn how Raspberry Pi can be used as a people counter, a dedicated OPAC, a social media tool, and more.
D302: Upping Our “Gamification”: Speaking Millennials’ Language
11:45 a.m. – 12:30 p.m.
David Folmar, Emerging Technology Librarian, Main Branch, Richmond Public Library Author, Game It Up! Using Gamification to Incentivize Your Library
Be tech-smart and culture-savvy by using game-design thinking and gaming activities to connect with current users in a fun way and draw in new ones. Hear from a library communicator who literally wrote the book on this topic. Online games are incredibly popular; libraries, book apps, and learning institutions are leveraging this to bring in new audiences and engage with existing ones in new ways. Why are they doing this, what is the benefit, and how do you make it work to promote your library? Get the answers here!
Video is a powerful, emotional storytelling medium that plays well in social media, and its use is still fast-growing. Video can spread your library’s story, and you can do it without hiring an expensive pro. A tech-savvy info pro shares basic video facts, along with her favorite tools, tips, and techniques that almost anyone can use for creating short, compelling videos to promote library services, staffers, and resources.
My note: my mouth ran dry to repeat this to the SCSU library. In vain. 1. make a low-cost social-media type of movie of 30 sec each week/month. 2. post on a prominent place on the library web page. 3. Have web form harvest info from patrons on the issu[s] reflected in the video 4. mirror video on the social media 5. aim as ultimate goal patrons (students, faculty, staff) furbishing the video footage instead of library staff
Why is it soooo difficult to comprehend?
E302: Zero to Maker: Invention Literacy & Mobile Memory Lab
11:45 a.m. – 12:30 p.m.
Dominique China, Information Services Librarian, Brampton Library
Colleen Dearborn, Adult Services Librarian, Alsip-Merrionette Park Library, Alsip, Ill.
Invention literacy is not just about understanding how a thing is made or how it works; it is also the ability to use that knowledge to bring one’s own ideas into reality. China gives examples of how one public library is empowering children, teens, and adults to become “invention-literate” through its maker programming. Find out how a combination of high- and low-tech equipment, safe and accessible learning environments, and a unique community partnership is nurturing invention, creative confidence, innovation, and entrepreneurship. Sparked by the CIL 2016 Hawkins and Mears talk about personal digital archiving and the DCPL Memory Lab, Dearborn shares her library’s inexpensive journey to create a mobile memory lab program. She discusses the acquisition of equipment and technology, the demo classes, lesson plans about personal archiving, outreach to other community organizations, and providing classes on related topics, such as saving and uploading images, backing up files and using cloud storage, writing and self-publishing memoirs, conducting oral interviews with veterans and other family memories, coding and saving memories on a website, etc. Future plans include digitizing local history documents, a community website with links to these documents, as well as to our patrons’ digitized images, videos, interviews and memoirs.
