Supporting the research process through expanded library data services

Program

Volumn 47, Issue 3, 2013, Pages 282-303

  Wang, Minglu ^a  

^a Rutgers University Libraries   (United States)

Author keywords

Academic libraries; Data computing services; Data management; Data reference services; Data services; United States of America; User studies

Indexed keywords

EID: 84880580473     PISSN: 00330337     EISSN: None     Source Type: Journal    
DOI: 10.1108/PROG-04-2012-0010     Document Type: Article

References (30)

1. Adams, M.O. (1982), "Models of data library development and information system services: an overview" in Library Trends, Vol. 30, No. 3, pp. 377-381.
2. Bennett, T.B. (2010), "Research data services at Singapore Management University: engagement summary report", Research Collection Library, Paper 5, available at: http://ink.library.smu.edu.sg/library_research/5 (accessed 7 September 2012).
3. Bennett, T.B., Nicholson, S. (2004), "Interactions between the academic business library and research data services" in Portal: Libraries and the Academy, Vol. 4, No. 1, pp. 105-121.
4. Bennett, T.B., Nicholson, S.W. (2007), "Research libraries: connecting users to numeric and spatial resources" in Social Science Computer Review, Vol. 25, No. 3, pp. 302-318.
5. Borgman, C.L. (2010), "Research data: who will share what, with whom, when, and why?", paper presented at the Fifth China-North America Library Conference, Beijing, 9-10 September, available at http://works.bepress.com/borgman/238 (accessed 7 September 2012).
6. Cook, M.N., Hernandez, J.J., Shawn, N. (2001), Numeric Data Products and Services, Association of Research Libraries, Washington, DC, available at: www.arl.org/bmdoc/spec263web.pdf (accessed 10 September 2012).
7. Delserone, L.M. (2008), "At the watershed: preparing for research data management and stewardship at the University of Minnesota Libraries" in Library Trends, Vol. 57, No. 2, pp. 202-210.
8. Duke, L.M., Vogel, K., Wilson, S. (2007), "Faculty-library collaboration in dataset and statistics management" in Technical Services Quarterly, Vol. 24, No. 4, pp. 43-54.
9. Farmer, L. (2011), "Qualitative research and the librarian" in Cook, D. and Farmer, L. (Eds.), Using Qualitative Methods in Action Research: How Librarians Can Get to the Why of Data, Association of College and Research Libraries, Chicago, IL, pp. 3-10.
10. Feijen, M. (2011), "What researchers want: a literature study of researchers' requirements with respect to storage and access to research data", available at www.surf.nl/en/publicaties/pages/whatresearcherswant.aspx (accessed 5 September 2012).
11. Franzosi, R. (2010), Quantitative Narrative Analysis, Sage, Thousand Oaks, CA.
12. Garritano, J.R., Carlson, J.R. (2009), "A subject librarian's guide to collaborating on e-science projects", Issues in Science and Technology Librarianship, Vol. 57, available at: www.istl.org/09-spring/refereed2.html (accessed 10 October 2010).
13. Geraci, D., Humphrey, C., Jacobs, J. (2010), Data Basics: An Introductory Text, Interuniversity Consortium for Political and Social Research, Ann Arbor, MI.
14. Gold, A. (2007), "Cyberinfrastructure, data, and libraries, part 2: libraries and the data challenge: roles and actions for libraries", D-Lib Magazine, Vol. 13, Nos 9/10, available at: www.dlib.org/dlib/september07/gold/09gold-pt2.html (accessed 25 October, 2010).
15. Gold, A. (2010), "Data curation and libraries: short-term developments, long-term prospects", Office of the Dean (Library), available at: http://digitalcommons.calpoly.edu/lib_dean/27 (accessed 4 September 2012).
16. Hogenboom, K., Phillips, C.M.H., Henseley, M. (2011), "Show me the data! Partnering with instructors to teach data literacy" in Declaration of Interdependence: The Proceedings of the ACRL 2011 Conference, March 30-April 2, 2011, Philadelphia, PA, Association of College and Research Libraries, Chicago, IL, pp. 410-417.
17. Jacobs, J.A., Humphrey, C. (2004), "Preserving research data" in Communications of the ACM, Vol. 47, No. 9, pp. 27-29.
18. Jahnke, L., Asher, A., Keralis, S.D.C. (2012), "The problem of data", Council on Library and Information Resources (CLIR) Report, No. 154, available at: http://digitalcommons.bucknell.edu/fac_pubs/52/ (accessed 9 September 2012).
19. Kellam, L.M., Peter, K. (2011), Numeric Data Services and Sources for the General Reference Librarian, Chandos Publishing, Oxford.
20. Lewis, D. (2007), "A strategy for academic libraries in the first quarter of the 21st century" in College & Research Libraries, Vol. 68, No. 5, pp. 418-434.
21. Mooney, H., Silver, B. (2010), "Spread the news: promoting data services" in College & Research Libraries News, Vol. 7, No. 9, pp. 480-483.
22. Olfman, L., Bostrom, R. (1991), "End-user software training: an experimental comparison of methods to enhance motivation" in Information Systems Journal, Vol. 1, pp. 249-266.
23. Read, E. (2007), "Data services in academic libraries" in Reference & User Services Quarterly, Vol. 46, No. 3, pp. 61-75.
24. Rosen, M.A., Salas, E., Pavlas, D., Jensen, R., Fu, D., Lampton, D. (2010), "Demonstration-based training: a review of instructional features" in Human Factors: The Journal of the Human Factors and Ergonomics Society, Vol. 52, No. 5, pp. 596-609.
25. Rowe, J. (1982), "Expanding social science reference service to meet the needs of patrons more adequately" in Library Trends, Vol. 30, No. 3, pp. 327-334.
26. Soehner, C., Steeves, C., Ward, J. (2010), E-science and Data Support Services: A Study of ARL Member Institutions, Association of Research Libraries, Washington, DC, available at: www.arl.org/bmdoc/escience_report2010.pdf (accessed 10 September 2012).
27. Wang, M. (2011), "Serving the future e-science researchers: library computing data services for graduate students on the Rutgers Newark campus", Synergy: News from ARL Diversity Programs No. 7, available at: www.arl.org/bmdoc/synergy1011.pdf (accessed 10 September 2012).
28. Wang, M. (2013), "Beyond technical instructions", paper presented at 14th Annual VALE/NJ ACRL/NJLA CUS users' conference, New Brunswick, NJ, January 5, available at: www.valenj.org/conference/session/p17-beyond-technical-instructions (accessed 15 January 2013).
29. Yi, M.Y., Davis, F.D. (2003), "Developing and validating an observational learning model of computer software training and skill acquisition" in Information Systems Research, Vol. 14, No. 2, pp. 146-169.
30. Yin, R.K. (2003), Case Study Research: Design and Methods, Sage Publications, Thousand Oaks, CA.