Searching for "big data library"

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 (http://blog.stcloudstate.edu/ims?s=big+data) as well as academic libraries (http://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





Reproducibility Librarian

Reproducibility Librarian? Yes, That Should Be Your Next Job

https://www.jove.com/blog/2017/10/27/reproducibility-librarian-yes-that-should-be-your-next-job/
Vicky Steeves (@VickySteeves) is the first Research Data Management and Reproducibility Librarian
Reproducibility is made so much more challenging because of computers, and the dominance of closed-source operating systems and analysis software researchers use. Ben Marwick wrote a great piece called ‘How computers broke science – and what we can do to fix it’ which details a bit of the problem. Basically, computational environments affect the outcome of analyses (Gronenschild et. al (2012) showed the same data and analyses gave different results between two versions of macOS), and are exceptionally hard to reproduce, especially when the license terms don’t allow it. Additionally, programs encode data incorrectly and studies make erroneous conclusions, e.g. Microsoft Excel encodes genes as dates, which affects 1/5 of published data in leading genome journals.
technology to capture computational environments, workflow, provenance, data, and code are hugely impactful for reproducibility.  It’s been the focus of my work, in supporting an open source tool called ReproZip, which packages all computational dependencies, data, and applications in a single distributable package that other can reproduce across different systems. There are other tools that fix parts of this problem: Kepler and VisTrails for workflow/provenance, Packrat for saving specific R packages at the time a script is run so updates to dependencies won’t break, Pex for generating executable Python environments, and o2r for executable papers (including data, text, and code in one).
plugin for Jupyter notebooks), and added a user interface to make it friendlier to folks not comfortable on the command line.

I would also recommend going to conferences:

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more on big data in an academic library in this IMS blog
academic library collection data visualization

http://blog.stcloudstate.edu/ims/2017/10/26/software-carpentry-workshop/

http://blog.stcloudstate.edu/ims?s=data+library

more on library positions in this IMS blog:
http://blog.stcloudstate.edu/ims?s=big+data+library
http://blog.stcloudstate.edu/ims/2016/06/14/technology-requirements-samples/

on university library future:
http://blog.stcloudstate.edu/ims/2014/12/10/unviersity-library-future/

librarian versus information specialist

 

LITA guides

https://rowman.com/Action/SERIES/RL/LITA

Topics for consideration include:

  • Tools for big data
  • Developing in-house technology expertise
  • Budgeting for technology
  • Writing a technology plan
  • K-12 technology
  • Applications of agile development for libraries
  • Grant writing for library technology
  • Security for library systems

Questions or comments can be sent to Marta Deyrup, LITA Acquisitions Editor.

Proposals can be submitted to the Acquisitions editor using this link.

code4lib 2018

Code2LIB February 2018

http://2018.code4lib.org/

2018 Preconference Voting

10. The Virtualized Library: A Librarian’s Introduction to Docker and Virtual Machines
This session will introduce two major types of virtualization, virtual machines using tools like VirtualBox and Vagrant, and containers using Docker. The relative strengths and drawbacks of the two approaches will be discussed along with plenty of hands-on time. Though geared towards integrating these tools into a development workflow, the workshop should be useful for anyone interested in creating stable and reproducible computing environments, and examples will focus on library-specific tools like Archivematica and EZPaarse. With virtualization taking a lot of the pain out of installing and distributing software, alleviating many cross-platform issues, and becoming increasingly common in library and industry practices, now is a great time to get your feet wet.

(One three-hour session)

11. Digital Empathy: Creating Safe Spaces Online
User research is often focused on measures of the usability of online spaces. We look at search traffic, run card sorting and usability testing activities, and track how users navigate our spaces. Those results inform design decisions through the lens of information architecture. This is important, but doesn’t encompass everything a user needs in a space.

This workshop will focus on the other component of user experience design and user research: how to create spaces where users feel safe. Users bring their anxieties and stressors with them to our online spaces, but informed design choices can help to ameliorate that stress. This will ultimately lead to a more positive interaction between your institution and your users.

The presenters will discuss the theory behind empathetic design, delve deeply into using ethnographic research methods – including an opportunity for attendees to practice those ethnographic skills with student participants – and finish with the practical application of these results to ongoing and future projects.

(One three-hour session)

14. ARIA Basics: Making Your Web Content Sing Accessibility

https://dequeuniversity.com/assets/html/jquery-summit/html5/slides/landmarks.html
Are you a web developer or create web content? Do you add dynamic elements to your pages? If so, you should be concerned with making those dynamic elements accessible and usable to as many as possible. One of the most powerful tools currently available for making web pages accessible is ARIA, the Accessible Rich Internet Applications specification. This workshop will teach you the basics for leveraging the full power of ARIA to make great accessible web pages. Through several hands-on exercises, participants will come to understand the purpose and power of ARIA and how to apply it for a variety of different dynamic web elements. Topics will include semantic HTML, ARIA landmarks and roles, expanding/collapsing content, and modal dialog. Participants will also be taught some basic use of the screen reader NVDA for use in accessibility testing. Finally, the lessons will also emphasize learning how to keep on learning as HTML, JavaScript, and ARIA continue to evolve and expand.

Participants will need a basic background in HTML, CSS, and some JavaScript.

(One three-hour session)

18. Learning and Teaching Tech
Tech workshops pose two unique problems: finding skilled instructors for that content, and instructing that content well. Library hosted workshops are often a primary educational resource for solo learners, and many librarians utilize these workshops as a primary outreach platform. Tackling these two issues together often makes the most sense for our limited resources. Whether a programming language or software tool, learning tech to teach tech can be one of the best motivations for learning that tech skill or tool, but equally important is to learn how to teach and present tech well.

This hands-on workshop will guide participants through developing their own learning plan, reviewing essential pedagogy for teaching tech, and crafting a workshop of their choice. Each participant will leave with an actionable learning schedule, a prioritized list of resources to investigate, and an outline of a workshop they would like to teach.

(Two three-hour sessions)

23. Introduction to Omeka S
Omeka S represents a complete rewrite of Omeka Classic (aka the Omeka 2.x series), adhering to our fundamental principles of encouraging use of metadata standards, easy web publishing, and sharing cultural history. New objectives in Omeka S include multisite functionality and increased interaction with other systems. This workshop will compare and contrast Omeka S with Omeka Classic to highlight our emphasis on 1) modern metadata standards, 2) interoperability with other systems including Linked Open Data, 3) use of modern web standards, and 4) web publishing to meet the goals medium- to large-sized institutions.

In this workshop we will walk through Omeka S Item creation, with emphasis on LoD principles. We will also look at the features of Omeka S that ease metadata input and facilitate project-defined usage and workflows. In accordance with our commitment to interoperability, we will describe how the API for Omeka S can be deployed for data exchange and sharing between many systems. We will also describe how Omeka S promotes multiple site creation from one installation, in the interest of easy publishing with many objects in many contexts, and simplifying the work of IT departments.

(One three-hour session)

24. Getting started with static website generators
Have you been curious about static website generators? Have you been wondering who Jekyll and Hugo are? Then this workshop is for you

My notehttps://opensource.com/article/17/5/hugo-vs-jekyll

But this article isn’t about setting up a domain name and hosting for your website. It’s for the step after that, the actual making of that site. The typical choice for a lot of people would be to use something like WordPress. It’s a one-click install on most hosting providers, and there’s a gigantic market of plugins and themes available to choose from, depending on the type of site you’re trying to build. But not only is WordPress a bit overkill for most websites, it also gives you a dynamically generated site with a lot of moving parts. If you don’t keep all of those pieces up to date, they can pose a significant security risk and your site could get hijacked.

The alternative would be to have a static website, with nothing dynamically generated on the server side. Just good old HTML and CSS (and perhaps a bit of Javascript for flair). The downside to that option has been that you’ve been relegated to coding the whole thing by hand yourself. It’s doable, but you just want a place to share your work. You shouldn’t have to know all the idiosyncrasies of low-level web design (and the monumental headache of cross-browser compatibility) to do that.

Static website generators are tools used to build a website made up only of HTML, CSS, and JavaScript. Static websites, unlike dynamic sites built with tools like Drupal or WordPress, do not use databases or server-side scripting languages. Static websites have a number of benefits over dynamic sites, including reduced security vulnerabilities, simpler long-term maintenance, and easier preservation.

In this hands-on workshop, we’ll start by exploring static website generators, their components, some of the different options available, and their benefits and disadvantages. Then, we’ll work on making our own sites, and for those that would like to, get them online with GitHub pages. Familiarity with HTML, git, and command line basics will be helpful but are not required.

(One three-hour session)

26. Using Digital Media for Research and Instruction
To use digital media effectively in both research and instruction, you need to go beyond just the playback of media files. You need to be able to stream the media, divide that stream into different segments, provide descriptive analysis of each segment, order, re-order and compare different segments from the same or different streams and create web sites that can show the result of your analysis. In this workshop, we will use Omeka and several plugins for working with digital media, to show the potential of video streaming, segmentation and descriptive analysis for research and instruction.

(One three-hour session)

28. Spark in the Dark 101 https://zeppelin.apache.org/
This is an introductory session on Apache Spark, a framework for large-scale data processing (https://spark.apache.org/). We will introduce high level concepts around Spark, including how Spark execution works and it’s relationship to the other technologies for working with Big Data. Following this introduction to the theory and background, we will walk workshop participants through hands-on usage of spark-shell, Zeppelin notebooks, and Spark SQL for processing library data. The workshop will wrap up with use cases and demos for leveraging Spark within cultural heritage institutions and information organizations, connecting the building blocks learned to current projects in the real world.

(One three-hour session)

29. Introduction to Spotlight https://github.com/projectblacklight/spotlight
http://www.spotlighttechnology.com/4-OpenSource.htm
Spotlight is an open source application that extends the digital library ecosystem by providing a means for institutions to reuse digital content in easy-to-produce, attractive, and scholarly-oriented websites. Librarians, curators, and other content experts can build Spotlight exhibits to showcase digital collections using a self-service workflow for selection, arrangement, curation, and presentation.

This workshop will introduce the main features of Spotlight and present examples of Spotlight-built exhibits from the community of adopters. We’ll also describe the technical requirements for adopting Spotlight and highlight the potential to customize and extend Spotlight’s capabilities for their own needs while contributing to its growth as an open source project.

(One three-hour session)

31. Getting Started Visualizing your IoT Data in Tableau https://www.tableau.com/
The Internet of Things is a rising trend in library research. IoT sensors can be used for space assessment, service design, and environmental monitoring. IoT tools create lots of data that can be overwhelming and hard to interpret. Tableau Public (https://public.tableau.com/en-us/s/) is a data visualization tool that allows you to explore this information quickly and intuitively to find new insights.

This full-day workshop will teach you the basics of building your own own IoT sensor using a Raspberry Pi (https://www.raspberrypi.org/) in order to gather, manipulate, and visualize your data.

All are welcome, but some familiarity with Python is recommended.

(Two three-hour sessions)

32. Enabling Social Media Research and Archiving
Social media data represents a tremendous opportunity for memory institutions of all kinds, be they large academic research libraries, or small community archives. Researchers from a broad swath of disciplines have a great deal of interest in working with social media content, but they often lack access to datasets or the technical skills needed to create them. Further, it is clear that social media is already a crucial part of the historical record in areas ranging from events your local community to national elections. But attempts to build archives of social media data are largely nascent. This workshop will be both an introduction to collecting data from the APIs of social media platforms, as well as a discussion of the roles of libraries and archives in that collecting.

Assuming no prior experience, the workshop will begin with an explanation of how APIs operate. We will then focus specifically on the Twitter API, as Twitter is of significant interest to researchers and hosts an important segment of discourse. Through a combination of hands-on and demos, we will gain experience with a number of tools that support collecting social media data (e.g., Twarc, Social Feed Manager, DocNow, Twurl, and TAGS), as well as tools that enable sharing social media datasets (e.g., Hydrator, TweetSets, and the Tweet ID Catalog).

The workshop will then turn to a discussion of how to build a successful program enabling social media collecting at your institution. This might cover a variety of topics including outreach to campus researchers, collection development strategies, the relationship between social media archiving and web archiving, and how to get involved with the social media archiving community. This discussion will be framed by a focus on ethical considerations of social media data, including privacy and responsible data sharing.

Time permitting, we will provide a sampling of some approaches to social media data analysis, including Twarc Utils and Jupyter Notebooks.

(One three-hour session)

K12 IT management

8 truths about K-12 IT systems management

By Gary Johnson September 13th, 2017

Unique complexities can be distilled down to eight truths, and may explain why vendors never seem to meet expectations in K-12 IT.

8 truths about K-12 IT systems management

Consider the information they handle every day. School districts in America today are complex, sophisticated businesses, not only managing multiple applications across multiple platforms, but also managing people and equipment in the real world, like bus fleets, library systems, and cafeterias.

you will find admins working with an average of 30 onsite and online platforms. That’s 30 systems to feed with data and update. The kicker is that those systems might not be on speaking terms with each other.

Interoperability is a multi-headed issue for any IT professional, but in the K-12 education world it is especially complex. These unique complexities can be distilled down to eight truths, and may explain why vendors who have been very successful in other IT verticals never seem to meet expectations in K-12.

The Solution Cannot Be Point-to-Point

Data from many active sources is profoundly difficult to keep current, especially when considering the different protocols used for each particular point-to-point integration.

There Must Be Multiple Ways of Moving Data

A successful broker/dashboard must be able to accommodate all of these integration methods. The broker needs to support it as well as the industry’s existing standards, such as SIF and CSV.

The System Must Merge Disparate Feeds

Data comes into educational systems from a variety of feeds, including CSVs and file sharing. Handling all these feeds develops a vital function, coveted by IT professionals and system admins everywhere: a comprehensive representation of the data truth of your district.

Your Data Solution Must Be Bidirectional

Different systems don’t always talk to each other politely, and with some districts using as many as 30 applications, writing grades back to the SIS can get thorny.

We Need a Flexible Data Model

some of those free or low-cost integrations are profoundly rigid and can’t accommodate the data reality of school districts.

We Must Deal with “Dumb” End Points

In the world of district data, we are moving toward REST APIs and other unintelligent end points. There is no inherent logic in an API that tells the system how to move data. And as mentioned earlier, many legacy systems still depend on CSV’s for data.

Integration Belongs in the Cloud but Must Accommodate On-Premise Apps

know the cloud actually is an ideal setting for interoperability, especially since so many of our applications are cloud-based. It gives you maximum visibility, maximum diagnostic capability and manageability. You can manage from anywhere, anytime.

Be Multi-Tenant with Supervisory Capability

For areas where intermediate units or a Board of Cooperative Educational Standards (BOCES) provide IT services to districts, the system admins need a big picture approach. The integration platform must allow the IU or BOCES to troubleshoot, diagnose, manage, and support multiple districts in one dashboard, but only show district personnel data belonging to their organization. State education agencies also have this need.

There are several reputable companies that provide an iPaaS–in fact Gartner compared 20 of them in their 2017 Magic Quadrant for Enterprise Integration Platform as a Service. However, without a deep understanding of education data models, even these vendors may fall short, and may be expensive.

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more on IT for K12 in this IMS blog
http://blog.stcloudstate.edu/ims?s=digital+literacy+edad

back to school discussion

Bryan Alexander (BA) Future Trends of Sept. 7

Are you seeing enrollments change? Which technologies hold the most promise? Will your campus become politically active? What collaborations might power up teaching and learning?

  • the big technological issues for the next year?
    robotics? automation in education? big data / analytics?

organizational transformation. David Stone (Penn State) – centralization vs decentralization. technology is shifting everywhere, even the registrar. BA – where should be the IT department? CFO or Academic Department.

difference between undergrads and grad students and how to address. CETL join center for academic technologies.

faculty role, developing courses and materials. share these materials and make more usable. who should be maintaining these materials. life cycle, compensation for development materials. This is in essence the issues of the OER Open Education Resources initiative in MN

BA: OER and Open Access to Research has very similar models and issues. Open access scholarship both have a lot of impact on campus finances. Library and faculty budges.

Amanda Major is with Division of Digital Learning as part of Academic Affairs at UCF: Are there trends in competency-based learning, assessing quality course and programs, personalized adaptive learning, utilizing data analytics for retention and student success?  BA: CBL continue to grow at state U’s and community colleges.

BA for group discussions: what are the technological changes happening this coming year, not only internally on campus, but global changes and how thy might be affecting us. Amazon Dash button, electric cars for U fleet, newer devices on campus

David Stone: students are price-sensitive. college and U can charge whatever they want and text books can raise prices.

http://hechingerreport.org/ next week

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more on future trends in this IMS blog

http://blog.stcloudstate.edu/ims/2017/05/30/missionu-on-bryan-alexanders-future-trends/

online teaching evaluation

Tobin, T. J., Mandernach, B. J., & Taylor, A. H. (2015). Evaluating Online Teaching: Implementing Best Practices (1 edition). San Francisco, CA: Jossey-Bass.
  1. 5 measurable faculty competencies for on line teaching:
  • attend to unique challenges of distance learning
  • Be familiar with unique learning needs
  • Achieve mastery of course content, structure , and organization
  • Respond to student inquiries
  • Provide detailed feedback
  • Communicate effectively
  • Promote a safe learning environment
  • Monitor student progress
  • Communicate course goals
  • Provide evidence of teaching presence.

Best practices include:

  • Making interactions challenging yet supportive for students
  • Asking learners to be active participants in the learning process
  • Acknowledging variety on the ways that students learn best
  • Providing timely and constructive feedback

Evaluation principles

  • Instructor knowledge
  • Method of instruction
  • Instructor-student rapport
  • Teaching behaviors
  • Enthusiastic teaching
  • Concern for teaching
  • Overall

8. The American Association for higher Education 9 principle4s of Good practice for assessing student learning from 1996 hold equally in the F2F and online environments:

the assessment of student learning beings with educational values

assessment is most effective when it reflects an understanding of learning as multidimensional, integrated and revealed in performance over time

assessment works best when the programs it seeks to improve have clear, explicitly stated purposes.

Assessment requires attention to outcomes but also and equally to the experiences that lead to those outcomes.

Assessment works best when it is ongoing, not episodic

Assessment fosters wider improvement when representatives from across the educational community are involved

Assessment makes a difference when it begins with issues of use and illumines questions that people really care bout

Assessment is most likely to lead to improvements when it is part of the large set of conditions that promote change.

Through assessment, educators meet responsibilities to students and to the public.

9 most of the online teaching evaluation instruments in use today are created to evaluate content design rather than teaching practices.

29 stakeholders for the evaluation of online teaching

  • faculty members with online teaching experience
  • campus faculty members as a means of establishing equitable evaluation across modes of teaching
  • contingent faculty members teaching online
  • department or college administrators
  • members of faculty unions or representative governing organizations
  • administrative support specialists
  • distance learning administrators
  • technology specialists
  • LMS administrators
  • Faculty development and training specialists
  • Institutional assessment and effectiveness specialists
  • Students

Sample student rating q/s

University resources

Rate the effectiveness of the online library for locationg course materials

Based on your experience,

148. Checklist for Online Interactive Learning COIL

150. Quality Online Course Initiative QOCI

151 QM Rubric

154 The Online Insturctor Evaluation System OIES

 

163 Data Analytics: moving beyond student learning

  • # of announcments posted per module
  • # of contributions to the asynchronous discussion boards
  • Quality of the contributions
  • Timeliness of posting student grades
  • Timelines of student feedback
  • Quality of instructional supplements
  • Quality of feedback on student work
  • Frequency of logins
  1. 180 understanding big data
  • reliability
  • validity
  • factor structure

187 a holistics valuation plan should include both formative evaluation, in which observations and rating are undertaken with the purposes of improving teaching and learning, and summative evaluation, in which observation and ratings are used in order to make personnel decisions, such as granting promotion and tenure, remediation, and asking contingent faculty to teach again.

195 separating teaching behaviors from content design

 

 

 

 

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more on online teaching in this IMS blog
http://blog.stcloudstate.edu/ims?s=online+teaching

embedded librarian qualifications

qualifications of the embedded librarian: is there any known case for an academic library to employ as embedded librarian a specialist who has both MLIS and terminal degree in a discipline, where he works as embedded librarian.

I also think that we need to be more welcoming to people who may not have come through a traditional education program (i.e., the M.L.S.) but who bring critical skills and new perspectives into the library.
The Changing Roles of Academic and Research Libraries – Higher Ed Careers – HigherEdJobs. (2013). Retrieved from https://www.higheredjobs.com/HigherEdCareers/interviews.cfm?ID=632

“Embedded librarian” is understood as librarians presence in traditional classroom environments and or through LMS.
Then opinions vary: According to Kvienlid (2012), http://www.cclibinstruction.org/wp-content/uploads/2012/02/CCLI2012proceedings_Kvenild.pdf

  1. “Their engagement can be over two or more class sessions, even co-teaching the class in some cases. This model provides in-depth knowledge of student research projects during the research and revision process.” This is for first-year experience students.
  2. Embedding with project teams in Business and STEM programs involves:  “in – depth participation in short – term projects, aiding the team in their searches, literature review, grant preparation, data curation, or other specialized information aspects of the project. This level of embedment requires a heavy time commitment during the length of the project, as well as subject expertise and established trust with the research team.”
  3. embedding in departments as a liaison. 
    “They are usually closely affiliated with the departme nt (maybe even more so than with the libraries) and might be paid out of departmental funds. These librarians learn the ways and needs of their patrons in their natural environment. They often work as finders of information, organizers of information, and taxonomy creators. Embedding within departments provides in – depth knowledge of the users of library services, along with potential isolation from other librarians. It involves a high degree of specialization, co – location and shared responsibility”

best practices, new opptunities (video, screencasts, social media. Adobe Connect) , Assessment

here is Kvenild 2016 article also

Kvenild, C., Tumbleson, B. E., Burke, J. J., & Calkins, K. (2016). Embedded librarianship: questions and answers from librarians in the trenches. Library Hi Tech34(2), 8-11.

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utilizing technology tools; and providing information literacy and assessment. Technology tools continue to evolve and change, and most librarians can anticipate using multiple learning management systems over time. There is an ongoing need for professional development in online library instruction and assessment

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Tumbleson, B. E., & Burke, J. (. J. (2013). Embedding librarianship in learning management systems: A how-to-do-it manual for librarians. Neal-Schuman, an imprint of the American Library Association.

http://blog.stcloudstate.edu/ims/2015/05/04/lms-and-embedded-librarianship/

read in red my emphasis on excerpts from that book

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Monroe-Gulick, A., O ’brien, M. S., & White, G. (2013). Librarians as Partners: Moving from Research Supporters to Research Partners. In Moving from Research Supporters to Research Partners. Indianapolis, IN. Retrieved from http://www.ala.org/acrl/sites/ala.org.acrl/files/content/conferences/confsandpreconfs/2013/papers/GulickOBrienWhite_Librarians.pdf

From Supporter to Partner

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Andrews, C. (2014). An Examination of Embedded Librarian Ideas and Practices: A Critical Bibliography.

http://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1000&context=bx_pubs

emphasis is on undergraduate. “a tremendous amount of literature published addressing library/faculty partnerships.”

“There will never be one golden rule when it comes to way in which a librarian networks with faculty on campus.”

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Bobish, G. (2011). Participation and Pedagogy: Connecting the Social Web to ACRL Learning Outcomes. Journal Of Academic Librarianship37(1), 54-63.

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https://www.researchgate.net/publication/232382226_Participation_and_Pedagogy_Connecting_the_Social_Web_to_ACRL_Learning_Outcomes

requested through researchgate

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Cahoy, E. S., & Schroeder, R. (2012). EMBEDDING AFFECTIVE LEARNING OUTCOMES IN LIBRARY INSTRUCTION. Communications In Information Literacy6(1), 73-90.

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attention must be paid to students’ affective, emotional needs throughout the research
process. My note: And this is exactly what comprise half of my service of. The relatively small amount of research into affective learning, as opposed to cognition, remains true to this day.

p. 78  As the 50-minute one-shot session is still the norm for library research sessions on the
majority of campuses, behavioral assessment can be problematic.

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Cha, T., & Hsieh, P. (2009). A Case Study of Faculty Attitudes toward Collaboration with Librarians to Integrate Information Literacy into the Curriculum. (Chinese). Journal Of Educational Media & Library Sciences46(4), 441-467.

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Meanwhile, different attitudes were revealed between teaching higher order thinking skills and lower order thinking skills. Librarian Domain Knowledge, Librarian Professionalism, Curriculum Strategies, and Student Learning were identified as factorial dimensions influencing faculty-librarian collaboration.

two major concerns of “Students Learning” and “Librarian Professionalism” from faculty provide insights that understanding pedagogy, enhancing instructional skills and continuing progress in librarian professionalism will contribute to consolidating partnerships when developing course-specific IL programs.

this proves how much right I am to develophttp://web.stcloudstate.edu/pmiltenoff/bi/

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COVONE, N., & LAMM, M. (2010). Just Be There: Campus, Department, Classroom…and Kitchen?. Public Services Quarterly6(2/3), 198-207. doi:10.1080/15228959.2010.498768

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p. 199 There is also the concept of the ‘‘blended librarian’’ as described by Bell and Shank (2004) to merge the assets and abilities of a librarian with those of one versed in technology. Academic librarians are obligated and privileged to merge several strengths to meet the needs of their user population. No longer is the traditional passive role acceptable. Bell and Shank (2004) implore academic librarians ‘‘to proactively advance their integration into the teaching and learning process’’ (p. 373).

p. 200 first year experience

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Dewey, B. I. (2004). The Embedded Librarian: Strategic Campus Collaborations. Resource Sharing & Information Networks17(1-2), 5-17.

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p. 6 the imperative for academic librarians to become embedded in the priorities of teaching, learning, and research in truly relevant ways. Embedding as an effective mode of collaboration will be explored through examples relating to the physical and virtual environment. An analysis of current approaches and next steps for the future will be addressed, with the goal of providing food for thought as librarians assess programs and activities in terms of positive collaboration and effectiveness

p. 9  new academic salon,
p. 10 the pervasive campus librarian
The fact that we are generalists and devoted to all disciplines and all sectors of the academic user community gives us a special insight on ways to advance the university and achieve its mission

this contradicts Shumaker and Talley, who assert that the embedded librarian is NOT a generalist, but specialist

p. 11 Central administrators, along with the chief academic officer, make critical funding and policy decisions affecting the library

p. 11 librarians and teaching.
In 2011, interim dean Ruth Zietlow “gave up” classes after the messy divorce with CIM. the library faculty poled itself to reveal that a significant number of the faculty does NOT want to teach.

p. 14 influencing campus virtual space
this library’s social media is imploded in its image.

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DREWES, K., & HOFFMAN, N. (2010). Academic Embedded Librarianship: An Introduction. Public Services Quarterly6(2/3), 75-82. doi:10.1080/15228959.2010.498773

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p. 75 Literature about embedded librarianship is so diverse that the definition of this term, as well as related goals and methods when embedding services and programs, can be difficult to define. What are some charateristics of an embedded program? Is embedding only achieved through an online classroom? How did embedded librarianship first begin in academic libraries?

p. 76 adopted as a term because it is a similar concept to embedded journalism.
Embedded librarian programs often locate librarians involved in the spaces of their users and colleagues, either physically or through technology, in order to become a part of their users’ culture. A librarian’s physical and metaphorical location is often what defines them as embedded.

David Shumaker and Mary Talley (see bottom of this blog entry)

Highly technical tasks, such as creating information architecture, using analytical software, and computer and network systems management were performed by less than 20% of the survey respondents. Shumaker and Talley also report embedded services are often found in tandem with specialized funding. This study also confirms embedded services are not new.

p. 77 history and evolution of the role

p. 79 methods of embedding

In North America, one would be hard-pressed to find a library that does not already electronically embed services into online reference chat, make use of Web 2.0 communication applications such as Twitter and blogs, and embed librarians and collaborators within online classrooms. These are all examples of the embedding process (Ramsay & Kinnie, 2006). The name embedded librarian in this context is a double entendre, as the insertion of widgets and multimedia files into HTML code when designing Web sites is usually called the embedding of the file.
My note: is this library actually is one that does not use Twitter and blogs in the hard-core meaning of library service

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Essinger, C. c., & Ke, I. i. (2013). Outreach: What Works?. Collaborative Librarianship5(1), 52-58.

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Recommendations:
The authors distributed their findings at a half day workshop attended by nearly all liaisons. They made the following recommendations:

  • • Personalize outreach.
  • • Spend more time marketing and reaching out to departments, even though it might mean having less time for other activities.
  • • Find an alternative advocate who can build your reputation through word-ofmouth if your relationship with your assigned department liaison is not fruitful.
  • • Seek opportunities to meet department staff in person.
  • • As much as possible, administrators should commit to keeping liaisons assignments static.

p. 57 that faculty outreach is similar to other types of relationship building: it requires time to establish trust, respect and appreciation on both sides. Even a liaison’s challenging first two years can, therefore, be viewed as productive because the relationship is developing in the background. This phenomenon also signals to library administrators the benefits of maintaining a stable workforce. Frequent changes in academic assignments and staff changes can lead to a less engaged user population, and also make the outreach assignment much more frustrating.

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Heider, K. L. (2010). Ten Tips for Implementing a Successful Embedded Librarian Program. Public Services Quarterly6(2-3), 110-121.

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embedded librarian program in the university’s College of Education and Educational Technology

p. 112 Make Sure You Have Buy-in from All Stakeholders

Include College=Department Faculty in the Interview Process

Look for the Following Qualities=Qualifications in an Embedded Librarian

Have a Physical Presence in the College=Department a Few Days Each Week

Serve as Bibliographer to College=Department

Offer Bibliographic Instruction Sessions and Guest Lectures at Main Campus, Branch Campuses, and Centers

Develop Collaborative Programs that Utilize the Library’s Resources for College=Department Improvement

#9 Offer to Teach Credit Courses for the College=Department When Department Faculty Are Not Available

#10: Publish Scholarly Works and Present at Professional Conferences with College=Department Faculty. again, Martin Lo, John Hoover,

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Hollister, C. V. (2008). Meeting Them where They Are: Library Instruction for Today’s Students in the World Civilizations Course. Public Services Quarterly4(1), 15-27.

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history and library. My note: can you break the silo in the history department? http://blog.stcloudstate.edu/ims/2017/05/01/history-becker/ 

world civilizations course

Faculty come to the world civilizations enterprise from a broad range of academic disciplines and world experiences, which has a significant impact on their interpretations of world history, their selections of course materials, their teaching styles, and their expectations for students. Moreover, faculty teach the course on a rotating basis. So, there is no single model of faculty-librarian collaboration that can be applied from section to section, or even from semester to semester. Faculty have widely differing views on the role of library instruction in their sections of the course, and the extent to which library research is required for coursework. They also differ in terms of their ability or willingness to collaborate with the libraries. As a result, student access to library instruction varies from section to section.

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Kesselman, M. A., & Watstein, S. B. (2009). Creating Opportunities: Embedded Librarians. Journal Of Library Administration49(3), 383-400.

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p. 384 embedded librarians in the blogosphere.
not even close to the local idea how blog must be used  for library use.

p. 387 definitions

p. 389 clinical librarianship – term from the 1970s.

p. 390 Special librarians and particularly those in corporate settings tend to be more integrated within the company they serve and are often instrumental in cost-related services such as competitive intelligence, scientific, and patent research.

p. 391 Librarians Collaborating With Faculty in Scholarly Communication Activities

My note: this is what I am doing with Martin Lo and used to do with John Hoover. Attempts with the sociology department, IS department

p. 392 Role of Librarians With Multidisciplinary Collaborations

my note : my work with Mark Gill and Mark Petzhold

p. 393 social media
again, this library cannot be farther from the true meaning of Web 2.0 collaboration.

p. 396 organizational structures

Three different types of organizational structures are generally recognized—hierarchical, matrix, and flat. We suggest that each of these conventional structures promotes, to some extent, its own brand of silos—silos that inherently pose obstacles to the assumption of new roles and responsibilities. For example, we question whether the hierarchical organization structures that define many of our libraries, with their emphasis on line, lateral staff and functional relationships and the relative ranks of parts and positions or jobs, are flexible enough to support new roles and responsibilities. In contrast, matrix management offers a different type of organizational management model in which people with similar skills are pooled for work assignments. We suggest that, in contrast to hierarchical structures, matrix management allows team members to share information more readily across task boundaries and allows for specialization that can increase depth of knowledge and allow professional development and career progression to be managed. The third organizational structure mentioned—flat or horizontal organizations, refers to an organizational structure with few or no levels of intervening management between staff and managers

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Kobzina, N. G. (2010). A Faculty—Librarian Partnership: A Unique Opportunity for Course Integration. Journal Of Library Administration50(4), 293-314.

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my LIB 290 is such class. and I am the only one who is teaching it online by QM standards.
Can the administration encourage Global Studies to combine efforts with my LIB 290 and offer a campus-wide class?

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Lange, J. j., Canuel, R. r., & Fitzgibbons, M. m. (2011). Tailoring information literacy instruction and library services for continuing education. Journal Of Information Literacy5(2), 66-80.

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McGill. p. 77 The McGill University Library’s system-wide liaison model emphasises a disciplinary approach, placing the impetus for outreach and service on individual librarians responsible for particular departments and user groups.

 

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MCMILLEN, P., & FABBI, J. (2010). How to Be an E3 Librarian. Public Services Quarterly6(2/3), 174-186. doi:10.1080/15228959.2010.497454

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ILL

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Meyer, N. J., & Miller, I. R. (2008). The Library as Service-Learning Partner: A Win-Win Collaboration with Students and Faculty. College & Undergraduate Libraries15(4), 399-413.

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ILL

I did something similar with Keith Christensen in 2012: http://bit.ly/SCSUlibGame, yet again, blocked for further consideration

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Niles, P. (2011). Meeting the Needs of the 21st Century Student. Community & Junior College Libraries17(2), 47-51.

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about Millennials

millennials. p. 48 my note: the losing battle of telling the millennials the value of books

librarians need to emphasize that not all information
is found on the Web and that the information found there might not be
reliable, depending on its source

p. 49 The latest technology can be used for communication. Two examples of this modernization process are making podcasts of library lectures and using instant messaging to answer reference queries. Students need Reference Librarians to assist them in focusing their research, showing them appropriate sources and how to use those sources. The change is not how the librarians serve the students but how the service is delivered. Instead of coming to the reference desk Millennial students may choose to use e-mail, cell phones to send a text message or use a chat reference service to communicate with the librarian. Students want to have 24/7 access to library resources and librarians.

my note: and yet this library still uses 90ish communication – the facebook page is just an easy to edit web page and the concept of Web 2.0 has not arrived or shaped the current communication.

p. 50 Librarians should examine how they present library instruction and ensure that students know why it is important. Further, Lancaster and Stillman state that librarians need to “incorporate some computer-based instruction for Millennials as it allows them to go at their own speed and acknowledges their ability to manage information” (2003, 231).
and, once again, talking about inducing library instruction with technology: http://web.stcloudstate.edu/pmiltenoff/bi/

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Oakleaf, M., & VanScoy, A. (2010). Instructional Strategies for Digital Reference: Methods to Facilitate Student Learning. Reference & User Services Quarterly49(4), 380-390.

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constructivism, social constructivism, active learning

they have a graph about metacognition. I wish, they had found place for metaliteracy also

p. 383. #5 Let them drive. this is EXACTLY what I am offering with:http://web.stcloudstate.edu/pmiltenoff/bi/
build their own construct

p. 386 my work with the doctoral cohorts:

In the current climate of educational accountability, reference librarians should embrace the opportunity to align reference service with the teaching and learning missions of their libraries and overarching institutions

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Rao, S., Cameron, A., & Gaskin-Noel, S. (2009). Embedding General Education Competencies into an Online Information Literacy Course. Journal Of Library Administration49(1/2), 59-73.

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online programs a 3-credit junior seminar course (JRSM 301) to assess general education competencies

p. 60 The 3-credit course titled LISC 260—Using Electronic Resources for Research has existed as a required course for this overseas cohort of students since the fall of 1999. The course was initially developed as a required course to introduce the Mercy College Libraries’ resources to this cohort of overseas students. Full-time librarians teach this course as an overload.

The course lasts for 8 weeks during fall and spring semesters and is divided into eight modules with five quizzes. Summer sessions are shorter; the summer version of the course runs for 6 weeks. There is no midterm exam, final exam, project, or term paper for this course. Sixty percent of the grade is based on the quizzes and assignments and 40% on discussion and class participation.

Each quiz addresses a specific competency. We identified the modules where the five competencies would fit best. A document containing the five general education competencies (critical thinking, information literacy, quantitative reasoning, critical reading, and writing) statements

Critical Thinking Competency This competency was placed in the second module covering the topic “Developing Search Strategies” in the second week of the course. In this module, students are required to select a topic and develop logical terminologies and search strings. This task requires a great deal of critical and analytical thinking and therefore lays the groundwork for the other competencies. The quizzes and assignments for this competency involve breaking or narrowing down the topic into subtopics, comparing two topics or ideas, and similar skills. It is hoped that students will be able to adopt Boolean and other search logic in clear and precise ways in their analyses and interpretations of their topic and use the search strategies they develop for continued assignments throughout the rest of the course.

p. 61. Information Literacy Competency The information literacy competency is introduced in the fourth module in the fourth week of the course. As part of the course, students are required to learn about the Mercy College Libraries’ indexes and databases, which this module addresses (“Information Literacy,” n.d.).

Quantitative Reasoning Competency

This seminar course is a library research course with no statistics or mathematics component. Many students enrolled in the course are not mathematics or statistics majors, hence some creativity was needed to evaluate their mathematical and computational skills. Students are given this competency in the fifth module during the fifth week of the course, which deals with subject-specific sources. It was decided that, to assess this competency, a quiz analyzing data obtained in a tabular format from one of the databases subscribed to by the library would fulfill the requirement. Students are given a choice of various countries and related data, and are asked to create some comparative demographic profiles. This approach has worked well because it gives students the opportunity to focus on countries and data that interest them.

 

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Abrizah, A., Inuwa, S., & Afiqah-Izzati, N. (2016). Systematic Literature Review Informing LIS Professionals on Embedding Librarianship Roles. Journal Of Academic Librarianship42(6), 636-643. doi:10.1016/j.acalib.2016.08.010

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requested through research gate

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Summey, T. P., & Kane, C. A. (2017). Going Where They Are: Intentionally Embedding Librarians in Courses and Measuring the Impact on Student Learning. Journal Of Library & Information Services In Distance Learning11(1/2), 158-174. doi:10.1080/1533290X.2016.1229429

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a pilot project utilizing a variety of methods.

p. 158 The concept of embedded librarians is not new, as it has antecedents in branch librarians of the seventies and academic departmental liaisons of the 1980s and 1990s. However, it is a way to proactively reach out to the campus community (Drewes & Hoffman, 2010).

There is not a one-size-fits-all definition for embedded librarianship. As a result, librarians in academic libraries may be embedded in their communities in a variety of ways and at varying levels from course integrated instruction to being fully embedded as a member of an academic department

p. 160 my note: the authors describe the standard use of LMS for embedded librarianship.

p. 163 they managed to fight out and ensure their efforts are “credited.” Assigning credits to embedded librarian activities can be a very tough process.

p. 165  assessment

the authors utilized a pre-module and post-module survey to assess the students’ performance using library resources. The survey also helped to determine the students’ perceived self-efficacy and confidence in using the library, its resources, and services. In addition, the researchers analyzed student responses to discussion questions, studied feedback at the end of the course in the course discussion forum, and conducted interviews with the faculty members teaching the courses (

In another study, researchers analyzed bibliographies of students in the course to identify what resources they cited in their research projects. More specifically, they analyzed the type and appropriateness of sources used by the students, their currency, and noting how deeply the students delved into their topics. They also looked at the number of references cited. The authors believed that examining the bibliographies provided an incomplete picture because it provided data on the sources selected by the students but not information on how they retrieved those sources.

p. 171 survey sample

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Wu, L., & Thornton, J. (2017). Experience, Challenges, and Opportunities of Being Fully Embedded in a User Group. Medical Reference Services Quarterly36(2), 138-149. doi:10.1080/02763869.2017.1293978

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this is somehow close to my role with the EDAD

Texas A&M University academic health sciences library integrating a librarian into the College of Pharmacy, approximately 250 miles away from the main library. preembedded and postembedded activities demonstrated the effectiveness and impact of

For this study, the fully embedded librarian is defined as one who is out of the traditional library and into an onsite setting to provide a full range of library services that enable collaboration with researchers or teaching faculty and support student learning. In this model, the embedded librarian is a team member of the RCOP rather than a service provider standing apart. The lines are not blurred as to the kind of services that should be embedded because the embedded librarian is 100% onsite. Very few reports in the literature describe fully embedded librarian models such as this. However, one similar model exists at the Arizona Health Sciences Library (AHSL), which is affiliated with the University of Arizona, where librarians relocated their permanent offices to the colleges of Nursing, Public Health, and Pharmacy. AHSL librarians spent close to 100% of their time in the colleges.

p. 144 The embedded librarian has gained recognition in the college and was appointed by the dean to serve on the Instructional Venues Ad Hoc Committee (IVC).

My note: This is what Tom Hergert and I have been advocating for years: the role of the librarian is not to find info and teach how to find info ONLY. The role of the librarian is to bring 21st century to School of Education: information literacy is only a fragment of metaliteracies. Information literacy is a 1990s priority. While it is still an important part of librarians goals, digital literacy, visual and media literacy, as well as technology literacy and pedagogical application of technology is imposed as integral part of the work of the mebedded librarian.

p. 145 Challenges and Opportunities

Another challenge involved the librarian’s decision-making and effective communications skills, especially when deciding to implement library services or programs. Other challenges included speaking the client group’s language and knowing the information needs of each group—faculty, students, staff, postdocs, research assistants, and research scientists—to deliver the right information at the point of need. The following strategies were practiced to overcome these challenges: .

  • A positive attitude can increase connectivity, networking, and collaboration beyond a limited space. Proactively seeking opportunities to participate and get involved in library events, instructional programs, training workshops, or committee work shortened the distance between the remote librarian and those in main campus. .
  • As video conferencing tools or programs (e.g., Adobe Connnect, Webex, Skype, Google Hangout, Zoom) were the primary means for the remote at 18:19 24 August 2017 librarian to attend library meetings and teach in library instructional programs, spending some time learning to use these tools and embracing them greatly increased the librarian’s capacity to overcome the feelings of disconnection.
  • The willingness to travel several times a year to the main campus to meet librarians face-to-face helped in understanding the system and in getting help that seemed complicated and difficult via remote resources (e.g., computer issues). .
  • Actively listening to the faculty and students during the conversations helped understand their information needs. This served as the basis to initiate any targeted library services and programs.

Despite the challenges, the embedded librarian was presented with numerous opportunities that a traditional librarian might think impossible or difficult to experience, for example, attending RCOP department meetings or RCOP executive committee meetings to present library resources and services, serving on RCOP committees, co-teaching with faculty in RCOP credit courses, creating and grading assignments counting toward total course credits, and being given access to all RCOP course syllabi in eCampus. (the last is in essence what I am doing right now)

p. 147 Marketing Embedded Library Services

The “What’s in It for Me” (WIIFM) principle1 was a powerful technique to promote embedded library services. The essentials of WIIFM are understanding patron needs and ensuring the marketing effort or communications addressing those needs15—in other words, always telling patrons what is in it for them when promoting library services and resources. Different venues were used to practice WIIFM: .

  • RCOP faculty email list was an effective way to reach out to all the faculty. An email message at the beginning of a semester to the faculty highlighted the embedded librarian’s services. During the semester, the librarian communicated with the faculty on specific resources and services addressing their needs, such as measuring their research impact at the time of their annual evaluation, sharing grant funding resources, and promoting MSL’s resources related to reuse of images. .
  • Library orientations to new students and new faculty allowed the librarian to focus on who to contact for questions and help, available resources, and ways to access them. . Being a guest speaker for the monthly RCOP departmental faculty meetings provided another opportunity for the librarian to promote services and resources.
  • Casual conversations with faculty, students, researchers, and postdocs in the hallway, at staff luncheons, and at RCOP events helped understand their information needs, which helped the librarian initiate MSL service projects and programs.
  • The Facebook private group, created by Instructional Technology & MSL Resources @ Rangel COP, was used to announce MSL resources and services. The group currently has 256 members. The librarian is one of the group administrators who answers student questions related to library and MSL resources. (social media is my forte)

p. 148 This model would not have been successful without the strong support from MSL leadership team and the RCOP administration.

the next step would be to conduct a systematic assessment to get feedback from RCOP administrators, faculty, students, staff, postdocs, and research assistants. The integration of the library instructional program into the RCOP curriculum should be included in RCOP final course evaluations. Another future direction might be to conduct a curriculum map to get a better idea about the learning objectives of each course and to identity information literacy instruction needs across the curriculum. The curriculum mapping might also help better structure library instruction delivery to RCOP. Teaching content might be structured more purposefully and logically sequenced across the curriculum to ensure that what students have learned in one course prepares them for the next ones.

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Blake, L., Ballance, D., Davies, K., Gaines, J. K., Mears, K., Shipman, P., & … Burchfield, V. (2016). Patron perception and utilization of an embedded librarian program. Journal Of The Medical Library Association104(3), 226-230. doi:10.3163/1536-5050.104.3.008

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The overall satisfaction with services was encouraging, but awareness of the embedded program was low, suggesting an overall need for marketing of services.

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Tumbleson, B. E. (2016). Collaborating in Research: Embedded Librarianship in the Learning Management System. Reference Librarian57(3), 224-234. doi:10.1080/02763877.2015.1134376

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O’Toole, E., Barham, R., & Monahan, J. (2016). The Impact of Physically Embedded Librarianship on Academic Departments. Portal: Libraries & The Academy16(3), 529-556.

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Agrawal, P. p., & Kumar, A. (2016). Embedded Librarianship and Academic Setup: Going beyond the library stockades. International Journal Of Information Dissemination & Technology6(3), 170-173.

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India. p. 173 as of today, most of the users are not able to differentiate the library professional who have a bachelor degree, Masters degree and who are doctorate of the subject. My note: not in my case and this is my great advantage.

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Madden, H., & Rasmussen, A. M. (2016). Embedded Librarianship: Einbindung von Wissenschafts- und Informationskompetenz in Schreibkurse / Ein US-amerikanisches Konzept. Bub: Forum Bibliothek Und Information68(4), 202-205.

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ILL

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Delaney, G., & Bates, J. (2015). Envisioning the Academic Library: A Reflection on Roles, Relevancy and Relationships. New Review Of Academic Librarianship21(1), 30-51. doi:10.1080/13614533.2014.911194

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overview of the literature on embedded librarianship

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Freiburger, G., Martin, J. R., & Nuñez, A. V. (2016). An Embedded Librarian Program: Eight Years On. Medical Reference Services Quarterly35(4), 388-396. doi:10.1080/02763869.2016.1220756

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close to my role with the doctoral cohorts

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Wilson, G. (2015). The Process of Becoming an Embedded Curriculum Librarian in Multiple Health Sciences Programs. Medical Reference Services Quarterly34(4), 490-497. doi:10.1080/02763869.2015.1082386

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ILL

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Milbourn, A. a. (2013). A Big Picture Approach: Using Embedded Librarianship to Proactively Address the Need for Visual Literacy Instruction in Higher Education. Art Documentation: Bulletin Of The Art Libraries Society Of North America32(2), 274-283.

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visual literacy – this is IMS area, which was de facto shot off by the omnipotence of “information literacy”

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Talley, M. (2007). Success and the Embedded Librarian. https://www.sla.org/wp-content/uploads/2013/05/Success_and_the_Embedded.pdf

Shumaker, D., Talley, M. Models of Embedded Librarianship: A Research Summary. https://www.sla.org/wp-content/uploads/2013/05/Models_of_Embedded.pdf

Shumaker, D., Talley, M. (2009). Models of Embedded Librarianship. Final Report.  Prepared under the Special Libraries Association Research Grant 2007. https://embeddedlibrarian.files.wordpress.com/2009/08/executivesummarymodels-of-embedded-librarianship.pdf

Shumaker, D. (2013). Embedded Librarianship: Digital World Future? http://www.infotoday.com/CIL2013/session.asp?ID=W30

Modelsof embeddedlibrarianship presentation_final_mt61509 from MaryTalley
slide 8: vision of embedded librarianship:
customer centric not library centric; located in their workplace not our workplace; focused on small groups not entire populations; composed of specialists, not generalists; dependent on domain knowledge not only library skills; aming an analysis and synthesis not simply delivery; in context, not out of context; built on trusted advice not service delivery
all of the above is embodied in my work with the doctoral cohorts
slide 9: why study? because traditional library service model is in decline
slide 11: broad analytical research on successful implementation is lacking
slide 20: large institutions more likely to offer specialized services
slide 21: domain knowledge through continuous learning, not always through formal degrees.
slide 39: what matters most
slide 40: strong leadership by library managers is critical (I will add here “by deans of other colleges)
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bibliography:

Abrizah, A., Inuwa, S., & Afiqah-Izzati, N. (2016). Systematic Literature Review Informing LIS Professionals on Embedding Librarianship Roles. Journal Of Academic Librarianship42(6), 636-643. doi:10.1016/j.acalib.2016.08.010

Agrawal, P. p., & Kumar, A. (2016). Embedded Librarianship and Academic Setup: Going beyond the library stockades. International Journal Of Information Dissemination & Technology6(3), 170-173.

Andrews, C. R. (2014). CUNY Academic Works An Examination of Embedded Librarian Ideas and Practices: A Critical Bibliography. An Examination of Embedded Librarian Ideas and Practices: A Critical Bibliography. Codex, 3(1), 2150–86. Retrieved from http://academicworks.cuny.edu/bx_pubs

Blake, L., Ballance, D., Davies, K., Gaines, J. K., Mears, K., Shipman, P., & … Burchfield, V. (2016). Patron perception and utilization of an embedded librarian program. Journal Of The Medical Library Association104(3), 226-230. doi:10.3163/1536-5050.104.3.008

Bobish, G. (2011). Participation and Pedagogy: Connecting the Social Web to ACRL Learning Outcomes. Journal Of Academic Librarianship37(1), 54-63.

Cahoy, E. S., & Schroeder, R. (2012). EMBEDDING AFFECTIVE LEARNING OUTCOMES IN LIBRARY INSTRUCTION. Communications In Information Literacy6(1), 73-90.

Cha, T., & Hsieh, P. (2009). A Case Study of Faculty Attitudes toward Collaboration with Librarians to Integrate Information Literacy into the Curriculum. (Chinese). Journal Of Educational Media & Library Sciences46(4), 441-467.

COVONE, N., & LAMM, M. (2010). Just Be There: Campus, Department, Classroom…and Kitchen?. Public Services Quarterly6(2/3), 198-207. doi:10.1080/15228959.2010.498768

Delaney, G., & Bates, J. (2015). Envisioning the Academic Library: A Reflection on Roles, Relevancy and Relationships. New Review Of Academic Librarianship21(1), 30-51. doi:10.1080/13614533.2014.911194

Dewey, B. I. (2004). The Embedded Librarian: Strategic Campus Collaborations. Resource Sharing & Information Networks17(1-2), 5-17.

DREWES, K., & HOFFMAN, N. (2010). Academic Embedded Librarianship: An Introduction. Public Services Quarterly6(2/3), 75-82. doi:10.1080/15228959.2010.498773

Essinger, C. c., & Ke, I. i. (2013). Outreach: What Works?. Collaborative Librarianship5(1), 52-58.

Freiburger, G., Martin, J. R., & Nuñez, A. V. (2016). An Embedded Librarian Program: Eight Years On. Medical Reference Services Quarterly35(4), 388-396. doi:10.1080/02763869.2016.1220756

Heider, K. L. (2010). Ten Tips for Implementing a Successful Embedded Librarian Program. Public Services Quarterly6(2-3), 110-121.

Hollister, C. V. (2008). Meeting Them where They Are: Library Instruction for Today’s Students in the World Civilizations Course. Public Services Quarterly4(1), 15-27.

Kesselman, M. A., & Watstein, S. B. (2009). Creating Opportunities: Embedded Librarians. Journal Of Library Administration49(3), 383-400.

Kobzina, N. G. (2010). A Faculty—Librarian Partnership: A Unique Opportunity for Course Integration. Journal Of Library Administration50(4), 293-314.

Kvenild, C. (n.d.). The Future of Embedded Librarianship: Best Practices and Opportunities. Retrieved from http://www.cclibinstruction.org/wp-content/uploads/2012/02/CCLI2012proceedings_Kvenild.pdf

Lange, J. j., Canuel, R. r., & Fitzgibbons, M. m. (2011). Tailoring information literacy instruction and library services for continuing education. Journal Of Information Literacy5(2), 66-80.

Madden, H., & Rasmussen, A. M. (2016). Embedded Librarianship: Einbindung von Wissenschafts- und Informationskompetenz in Schreibkurse / Ein US-amerikanisches Konzept. Bub: Forum Bibliothek Und Information68(4), 202-205.

MCMILLEN, P., & FABBI, J. (2010). How to Be an E3 Librarian. Public Services Quarterly6(2/3), 174-186. doi:10.1080/15228959.2010.497454

Meyer, N. J., & Miller, I. R. (2008). The Library as Service-Learning Partner: A Win-Win Collaboration with Students and Faculty. College & Undergraduate Libraries15(4), 399-413.

Milbourn, A. (2013). A Big Picture Approach: Using Embedded Librarianship to Proactively Address the Need for Visual Literacy Instruction in Higher Education. Art Documentation: Bulletin Of The Art Libraries Society Of North America32(2), 274-283.

The Changing Roles of Academic and Research Libraries – Higher Ed Careers – HigherEdJobs. (2013). Retrieved from https://www.higheredjobs.com/HigherEdCareers/interviews.cfm?ID=632

Niles, P. (2011). Meeting the Needs of the 21st Century Student. Community & Junior College Libraries17(2), 47-51.

Oakleaf, M., & VanScoy, A. (2010). Instructional Strategies for Digital Reference: Methods to Facilitate Student Learning. Reference & User Services Quarterly49(4), 380-390.

O’Toole, E., Barham, R., & Monahan, J. (2016). The Impact of Physically Embedded Librarianship on Academic Departments. Portal: Libraries & The Academy16(3), 529-556.

Rao, S., Cameron, A., & Gaskin-Noel, S. (2009). Embedding General Education Competencies into an Online Information Literacy Course. Journal Of Library Administration49(1/2), 59-73.

Shumaker, D., Talley, M. Models of Embedded Librarianship: A Research Summary. https://www.sla.org/wp-content/uploads/2013/05/Models_of_Embedded.pdf

Shumaker, D., Talley, M. (2009). Models of Embedded Librarianship. Final Report.  Prepared under the Special Libraries Association Research Grant 2007. https://embeddedlibrarian.files.wordpress.com/2009/08/executivesummarymodels-of-embedded-librarianship.pdf

Shumaker, D. (2013). Embedded Librarianship: Digital World Future? http://www.infotoday.com/CIL2013/session.asp?ID=W30

Summey, T. P., & Kane, C. A. (2017). Going Where They Are: Intentionally Embedding Librarians in Courses and Measuring the Impact on Student Learning. Journal Of Library & Information Services In Distance Learning11(1/2), 158-174. doi:10.1080/1533290X.2016.1229429

Talley, M. (2007). Success and the Embedded Librarian. https://www.sla.org/wp-content/uploads/2013/05/Success_and_the_Embedded.pdf

Tumbleson, B. E., & Burke, J. (John J. . (2013). Embedding librarianship in learning management systems : a how-to-do-it manual for librarians. Retrieved from http://www.worldcat.org/title/embedding-librarianship-in-learning-management-systems-a-how-to-do-it-manual-for-librarians/oclc/836261183

Tumbleson, B. E. (2016). Collaborating in Research: Embedded Librarianship in the Learning Management System. Reference Librarian57(3), 224-234. doi:10.1080/02763877.2015.1134376

Wilson, G. (2015). The Process of Becoming an Embedded Curriculum Librarian in Multiple Health Sciences Programs. Medical Reference Services Quarterly34(4), 490-497. doi:10.1080/02763869.2015.1082386

Wu, L., & Thornton, J. (2017). Experience, Challenges, and Opportunities of Being Fully Embedded in a User Group. Medical Reference Services Quarterly36(2), 138-149. doi:10.1080/02763869.2017.1293978

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more about embedded librarian in this IMS blog
http://blog.stcloudstate.edu/ims?s=embedded+librarian

Large-scale visualization

The future of collaboration: Large-scale visualization

 http://usblogs.pwc.com/emerging-technology/the-future-of-collaboration-large-scale-visualization/

More data doesn’t automatically lead to better decisions. A shortage of skilled data scientists has hindered progress towards translation of information into actionable business insights. In addition, traditionally dense spreadsheets and linear slideshows are ineffective to present discoveries when dealing with Big Data’s dynamic nature. We need to evolve how we capture, analyze and communicate data.

Large-scale visualization platforms have several advantages over traditional presentation methods. They blur the line between the presenter and audience to increase the level of interactivity and collaboration. They also offer simultaneous views of 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.

Visualization walls enable presenters to target people’s preferred learning methods, thus creating a more effective communication tool. The human brain has an amazing ability to quickly glean insights from patterns – and great visualizations make for more efficient storytellers.

Grant: Visualizing Digital Scholarship in Libraries and Learning Spaces
Award amount: $40,000
Funder: Andrew W. Mellon Foundation
Lead institution: North Carolina State University Libraries
Due date: 13 August 2017
Notification date: 15 September 2017
Website: https://immersivescholar.org
Contact: immersivescholar@ncsu.edu

Project Description

NC State University, funded by the Andrew W. Mellon Foundation, invites proposals from institutions interested in participating in a new project for Visualizing Digital Scholarship in Libraries and Learning Spaces. The grant aims to 1) build a community of practice of scholars and librarians who work in large-scale multimedia to help visually immersive scholarly work enter the research lifecycle; and 2) overcome technical and resource barriers that limit the number of scholars and libraries who may produce digital scholarship for visualization environments and the impact of generated knowledge. Libraries and museums have made significant strides in pioneering the use of large-scale visualization technologies for research and learning. However, the utilization, scale, and impact of visualization environments and the scholarship created within them have not reached their fullest potential. A logical next step in the provision of technology-rich, visual academic spaces is to develop best practices and collaborative frameworks that can benefit individual institutions by building economies of scale among collaborators.

The project contains four major elements:

  1. An initial meeting and priority setting workshop that brings together librarians, scholars, and technologists working in large-scale, library and museum-based visualization environments.
  2. Scholars-in-residence at NC State over a multi-year period who pursue open source creative projects, working in collaboration with our librarians and faculty, with the potential to address the articulated limitations.
  3. Funding for modest, competitive block grants to other institutions working on similar challenges for creating, disseminating, validating, and preserving digital scholarship created in and for large-scale visual environments.
  4. A culminating symposium that brings together representatives from the scholars-in-residence and block grant recipient institutions to share and assess results, organize ways of preserving and disseminating digital products produced, and build on the methods, templates, and tools developed for future projects.

Work Summary
This call solicits proposals for block grants from library or museum systems that have visualization installations. Block grant recipients can utilize funds for ideas ranging from creating open source scholarly content for visualization environments to developing tools and templates to enhance sharing of visualization work. An advisory panel will select four institutions to receive awards of up to $40,000. Block grant recipients will also participate in the initial priority setting workshop and the culminating symposium. Participating in a block grant proposal does not disqualify an individual from later applying for one of the grant-supported scholar-in-residence appointments.
Applicants will provide a statement of work that describes the contributions that their organization will make toward the goals of the grant. Applicants will also provide a budget and budget justification.
Activities that can be funded through block grants include, but are not limited to:

  • Commissioning work by a visualization expert
  • Hosting a visiting scholar, artist, or technologist residency
  • Software development or adaptation
  • Development of templates and methodologies for sharing and scaling content utilizing open source software
  • Student or staff labor for content or software development or adaptation
  • Curricula and reusable learning objects for digital scholarship and visualization courses
  • Travel (if necessary) to the initial project meeting and culminating workshop
  • User research on universal design for visualization spaces

Funding for operational expenditures, such as equipment, is not allowed for any grant participant.

Application
Send an application to immersivescholar@ncsu.edu by the end of the day on 13 August 2017 that includes the following:

  • Statement of work (no more than 1000 words) of the project idea your organization plans to develop, its relationship to the overall goals of the grant, and the challenges to be addressed.
  • List the names and contact information for each of the participants in the funded project, including a brief description of their current role, background, expertise, interests, and what they can contribute.
  • Project timeline.
  • Budget table with projected expenditures.
  • Budget narrative detailing the proposed expenditures

Selection and Notification Process
An advisory panel made up of scholars, librarians, and technologists with experience and expertise in large-scale visualization and/or visual scholarship will review and rank proposals. The project leaders are especially keen to receive proposals that develop best practices and collaborative frameworks that can benefit individual institutions by building a community of practice and economies of scale among collaborators.

Awardees will be selected based on:

  • the ability of their proposal to successfully address one or both of the identified problems;
  • the creativity of the proposed activities;
  • relevant demonstrated experience partnering with scholars or students on visualization projects;
  • whether the proposal is extensible;
  • feasibility of the work within the proposed time-frame and budget;
  • whether the project work improves or expands access to large-scale visual environments for users; and
  • the participant’s ability to expand content development and sharing among the network of institutions with large-scale visual environments.

Awardees will be required to send a representative to an initial meeting of the project cohort in Fall 2017.

Awardees will be notified by 15 September 2017.

If you have any questions, please contact immersivescholar@ncsu.edu.

–Mike Nutt Director of Visualization Services Digital Library Initiatives, NCSU Libraries
919.513.0651 http://www.lib.ncsu.edu/do/visualization

 

globalization economy democracy

Caldwell, C. (April, 2017). Sending Jobs Overseas. CRB, 27(2).

http://www.claremont.org/crb/article/sending-jobs-overseas/ 

https://en.wikipedia.org/wiki/Claremont_Institute

Caldwell’s book review of
Baldwin, Richard E. The Great Convergence: Information Technology and the New Globalization. Cambridge, Massachusetts: The Belknap Press of Harvard University Press, 2016. not at SCSU library, available through ILL (https://mplus.mnpals.net/vufind/Record/008770850/Hold?item_id=MSU50008770850000010&id=008770850&hashKey=cff0a018a46178d4d3208ac449d86c4e#tabnav)

Globalization’s cheerleaders, from Columbia University economist Jagdish Bhagwati to New York Times columnist Thomas Friedman, made arguments from classical economics: by buying manufactured products from people overseas who made them cheaper than we did, the United States could get rich concentrating on product design, marketing, and other lucrative services. That turned out to be a mostly inaccurate description of how globalism would work in the developed world, as mainstream politicians everywhere are now discovering.

Certain skeptics, including polymath author Edward Luttwak and Harvard economist Dani Rodrik, put forward a better account. In his 1998 book Turbo-Capitalism, Luttwak gave what is still the most succinct and accurate reading of the new system’s economic consequences. “It enriches industrializing poor countries, impoverishes the semi-affluent majority in rich countries, and greatly adds to the incomes of the top 1 percent on both sides who are managing the arbitrage.”

In The Great Convergence, Richard Baldwin, an economist at the Graduate Institute in Geneva, gives us an idea why, over the past generation, globalization’s benefits have been so hard to explain and its damage so hard to diagnose.

We have had “globalization,” in the sense of far-flung trade, for centuries now.

ut around 1990, the cost of sharing information at a distance fell dramatically. Workers on complex projects no longer had to cluster in the same factory, mill town, or even country. Other factors entered in. Tariffs fell. The rise of “Global English” as a common language of business reduced the cost of moving information (albeit at an exorbitant cost in culture). “Containerization” (the use of standard-sized shipping containers across road, rail, and sea transport) made packing and shipping predictable and helped break the world’s powerful longshoremen’s unions. Active “pro-business” political reforms did the rest.

Far-flung “global value chains” replaced assembly lines. Corporations came to do some of the work of governments, because in the free-trade climate imposed by the U.S., they could play governments off against one another. Globalization is not about nations anymore. It is not about products. And the most recent elections showed that it has not been about people for a long time. No, it is about tasks.

his means a windfall for what used to be called the Third World. More than 600 million people have been pulled out of dire poverty. They can get richer by building parts of things.

The competition that globalization has created for manufacturing has driven the value-added in manufacturing down close to what we would think of as zilch. The lucrative work is in the design and the P.R.—the brainy, high-paying stuff that we still get to do.

But only a tiny fraction of people in any society is equipped to do lucrative brainwork. In all Western societies, the new formula for prosperity is inconsistent with the old formula for democracy.

One of these platitudes is that all nations gain from trade. Baldwin singles out Harvard professor and former George W. Bush Administration economic adviser Gregory Mankiw, who urged passage of the Obama Administration mega-trade deals TPP and Transatlantic Trade and Investment Partnership (TTIP) on the grounds that America should “work in those industries in which we have an advantage compared with other nations, and we should import from abroad those goods that can be produced more cheaply there.”

That was a solid argument 200 years ago, when the British economist David Ricardo developed modern doctrines of trade. In practical terms, it is not always solid today. What has changed is the new mobility of knowledge. But knowledge is a special commodity. It can be reused. Several people can use it at the same time. It causes people to cluster in groups, and tends to grow where those groups have already clustered.

When surgeries involved opening the patient up like a lobster or a peapod, the doctor had to be in physical contact with a patient. New arthroscopic processes require the surgeon to guide cutting and cauterizing tools by computer. That computer did not have to be in the same room. And if it did not, why did it have to be in the same country? In 2001, a doctor in New York performed surgery on a patient in Strasbourg. In a similar way, the foreman on the American factory floor could now coordinate production processes in Mexico. Each step of the production process could now be isolated, and then offshored. This process, Baldwin writes, “broke up Team America by eroding American labor’s quasi-monopoly on using American firms’ know-how.”

To explain why the idea that all nations win from trade isn’t true any longer, Baldwin returns to his teamwork metaphor. In the old Ricardian world that most policymakers still inhabit, the international economy could be thought of as a professional sports league. Trading goods and services resembled trading players from one team to another. Neither team would carry out the deal unless it believed it to be in its own interests. Nowadays, trade is more like an arrangement by which the manager of the better team is allowed to coach the lousier one in his spare time.

Vietnam, which does low-level assembly of wire harnesses for Honda. This does not mean Vietnam has industrialized, but nations like it no longer have to.

In the work of Thomas Friedman and other boosters you find value chains described as kaleidoscopic, complex, operating in a dozen different countries. Those are rare. There is less to “global value chains” than meets the eye. Most of them, Baldwin shows, are actually regional value chains. As noted, they exist on the periphery of the United States, Europe, or Japan. In this, offshoring resembles the elaborate international transactions that Florentine bankers under the Medicis engaged in for the sole purpose of avoiding church strictures on moneylending.

One way of describing outsourcing is as a verdict on the pay structure that had arisen in the West by the 1970s: on trade unions, prevailing-wage laws, defined-benefit pension plans, long vacations, and, more generally, the power workers had accumulated against their bosses.

In 1993, during the first month of his presidency, Bill Clinton outlined some of the promise of a world in which “the average 18-year-old today will change jobs seven times in a lifetime.” How could anyone ever have believed in, tolerated, or even wished for such a thing? A person cannot productively invest the resources of his only life if he’s going to be told every five years that everything he once thought solid has melted into ait.

The more so since globalization undermines democracy, in the ways we have noted. Global value chains are extraordinarily delicate. They are vulnerable to shocks. Terrorists have discovered this. In order to work, free-trade systems must be frictionless and immune to interruption, forever. This means a program of intellectual property protection, zero tariffs, and cross-border traffic in everything, including migrants. This can be assured only in a system that is veto-proof and non-consultative—in short, undemocratic.

Sheltered from democracy, the economy of the free trade system becomes more and more a private space.

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Caldwell, C. (2014, November). Twilight of Democracy. CRB, 14(4).

Caldwell’s book review of
Fukuyama, Francis. The Origins of Political Order: From Prehuman Times to the French Revolution. New York: Farrar, Straus and Giroux, 2011. SCSU Library: https://mplus.mnpals.net/vufind/Record/007359076  Call Number: JC11 .F85 2011

http://www.claremont.org/crb/article/twilight-of-democracy/

Fukuyama’s first volume opened with China’s mandarin bureaucracy rather than the democracy of ancient Athens, shifting the methods of political science away from specifically Western intellectual genealogies and towards anthropology. Nepotism and favor-swapping are man’s basic political motivations, as Fukuyama sees it. Disciplining those impulses leads to effective government, but “repatrimonialization”—the capture of government by private interests—threatens whenever vigilance is relaxed. Fukuyama’s new volume, which describes political order since the French Revolution, extends his thinking on repatrimonialization, from the undermining of meritocratic bureaucracy in Han China through the sale of offices under France’s Henri IV to the looting of foreign aid in post-colonial Zaire. Fukuyama is convinced that the United States is on a similar path of institutional decay.

Political philosophy asks which government is best for man. Political science asks which government is best for government. Political decline, Fukuyama insists, is not the same thing as civilizational collapse.

Fukuyama is not the first to remark that wars can spur government efficiency—even if front-line soldiers are the last to benefit from it.

Relative to the smooth-running systems of northwestern Europe, American bureaucracy has been a dud, riddled with corruption from the start and resistant to reform. Patronage—favors for individual cronies and supporters—has thrived.

Clientelism is an ambiguous phenomenon: it is bread and circuses, it is race politics, it is doing favors for special classes of people. Clientelism is both more democratic and more systemically corrupting than the occasional nepotistic appointment.

why modern mass liberal democracy has developed on clientelistic lines in the U.S. and meritocratic ones in Europe. In Europe, democracy, when it came, had to adapt itself to longstanding pre-democratic institutions, and to governing elites that insisted on established codes and habits. Where strong states precede democracy (as in Germany), bureaucracies are efficient and uncorrupt. Where democracy precedes strong states (as in the United States but also Greece and Italy), government can be viewed by the public as a piñata.

Fukuyama contrasts the painstaking Japanese development of Taiwan a century ago with the mess that the U.S. Congress, “eager to impose American models of government on a society they only dimly understood,” was then making of the Philippines. It is not surprising that Fukuyama was one of the most eloquent conservative critics of the U.S. invasion of Iraq from the very beginning.

What distinguishes once-colonized Vietnam and China and uncolonized Japan and Korea from these Third World basket cases is that the East Asian lands “all possess competent, high-capacity states,” in contrast to sub-Saharan Africa, which “did not possess strong state-level institutions.”

Fukuyama does not think ethnic homogeneity is a prerequisite for successful politics

the United States “suffers from the problem of political decay in a more acute form than other democratic political systems.” It has kept the peace in a stagnant economy only by dragooning women into the workplace and showering the working and middle classes with credit.

public-sector unions have colluded with the Democratic Party to make government employment more rewarding for those who do it and less responsive to the public at large. In this sense, government is too big. But he also believes that cutting taxes on the rich in hopes of spurring economic growth has been a fool’s errand, and that the beneficiaries of deregulation, financial and otherwise, have grown to the point where they have escaped bureaucratic control altogether. In this sense, government is not big enough.

Washington, as Fukuyama sees it, is a patchwork of impotence and omnipotence—effective where it insists on its prerogatives, ineffective where it has been bought out. The unpredictable results of democratic oversight have led Americans to seek guidance in exactly the wrong place: the courts, which have both exceeded and misinterpreted their constitutional responsibilities.  the almost daily insistence of courts that they are liberating people by removing discretion from them gives American society a Soviet cast.

“Effective modern states,” he writes, “are built around technical expertise, competence, and autonomy.”

http://librev.com/index.php/2013-03-30-08-56-39/discussion/culture/3234-gartziya-i-problemite-na-klientelistkata-darzhava

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Williams, J. (2017, May). The Dumb Politics of Elite Condescension. NYT

https://mobile.nytimes.com/2017/05/27/opinion/sunday/the-dumb-politics-of-elite-condescension.html

the sociologists Richard Sennett and Jonathan Cobb call the “hidden injuries of class.” These are dramatized by a recent employment study, in which the sociologists Lauren A. Rivera and Andras Tilcsik sent 316 law firms résumés with identical and impressive work and academic credentials, but different cues about social class. The study found that men who listed hobbies like sailing and listening to classical music had a callback rate 12 times higher than those of men who signaled working-class origins, by mentioning country music, for example.

Politically, the biggest “hidden injury” is the hollowing out of the middle class in advanced industrialized countries. For two generations after World War II, working-class whites in the United States enjoyed a middle-class standard of living, only to lose it in recent decades.

The college-for-all experiment did not work. Two-thirds of Americans are not college graduates. We need to continue to make college more accessible, but we also need to improve the economic prospects of Americans without college degrees.

the United States has a well-documented dearth of workers qualified for middle-skill jobs that pay $40,000 or more a year and require some postsecondary education but not a college degree. A 2014 report by Accenture, Burning Glass Technologies and Harvard Business School found that a lack of adequate middle-skills talent affects the productivity of “47 percent of manufacturing companies, 35 percent of health care and social assistance companies, and 21 percent of retail companies.”

Skillful, a partnership among the Markle Foundation, LinkedIn and Colorado, is one initiative pointing the way. Skillful helps provide marketable skills for job seekers without college degrees and connects them with employers in need of middle-skilled workers in information technology, advanced manufacturing and health care. For more information, see my other IMS blog entries, such ashttp://blog.stcloudstate.edu/ims/2017/01/11/credly-badges-on-canvas/

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