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The Emerging Career of Data Librarianship in Academic Libraries

The Emerging Career of Data Librarianship in Academic Libraries. Hailey Mooney Data Services and Reference Librarian Michigan State University Libraries. Contact Information: mooneyh@msu.edu http://dataservices.lib.msu.edu. Data as a primary source. Types of Data Numeric

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The Emerging Career of Data Librarianship in Academic Libraries

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  1. The Emerging Career ofData Librarianship in Academic Libraries Hailey Mooney Data Services and Reference Librarian Michigan State University Libraries Contact Information: mooneyh@msu.edu http://dataservices.lib.msu.edu

  2. Data as a primary source Types of Data Numeric Machine-readable data files Non-numeric Traditional primary sources: private documents (letters, diaries), media (written record, oral record, films, photographs), physical materials What is data (to a data librarian)? Wisdom Knowledge Information Data

  3. Types of Numeric Data in the Social Sciences • Primary Data (Researcher created) • Surveys • Micro level (individuals) • Cross sectional or longitudinal • Social, economic, demographic • Macro level (aggregations) • Secondary/Archival Data (Created for purposes other than academic research) • Administrative Records • Government, business

  4. Data vs. Statistics

  5. Inter-University Consortium for Political and Social Research (ICPSR) Subject-specific Roper Center Public Opinion Archives Cultural Policy and the Arts National Data Archive (CPANDA) Association of Religion Data Archives (ARDA) University University of Wisconsin Data & Information Services Center (UW DISC) International German Social Science Infrastructure Services Association (GESIS) Data Archives

  6. Evolution of Social Science Data and Quantitative Research • 1896 Herman Hollerith forms the Tabulating Machine Company, a predecessor of IBM • 1897 Emile Durkheim publishes Suicide • 1935 Dr. George Gallup founds the American Institute of Public Opinion • 1940 the Current Population Survey is established • 1947 Roper Center for Public Opinion Research founded • 1948 National Election Studies begin • 1951 UNIVAC, the first civilian computer is delivered to the U.S. Census Bureau • 1962 ICPSR founded • 1968 Statistical Package for the Social Sciences (SPSS) software is first released • 1972 Nat’l Opinion Research Center (NORC) conducts first General Social Survey (GSS) • 1974 First Internat’l Assoc. of Soc. Sci. Info. Service & Tech. (IASSIST) Conference • 1981 Internat’l Business Machines (IBM) releases the Personal Computer • 1982Library Trends special issue on “Data Libraries for the Social Sciences” • 1985 National Science Foundation begins to require data sharing • 1994 ICPSR launches first WWW homepage • 1997 Fedstats.gov is launched • 1998 ICPSR data is available for download from the WWW • 2001 Numeric Data Products and Services SPEC Kit published

  7. “The mission of Michigan State University Library Data Services is to make numeric data resources available to students, faculty and staff to support curricular, research, and general information needs.” Services Provided: Data Set Identification (Reference) Instructional Support Data Set Acquisitions Library Data Services

  8. Library Units and Data • Public Services • Collections • Digital Information

  9. Research Data Management Forum: RDMF2: Core Skills Diagram http://data-forum.blogspot.com/2008/12/rdmf2-core-skills-diagram.html as cited in Pryor, G. & Donnelly, M. (2009). Skilling up to do data: Whose role, whose responsibility, whose career?. International Journal of Digital Curation, 2 (4): 158-170.

  10. Data Reference • Reference Interview: Define the Unit of Analysis • Who or what? (social unit) • When? (time) • Where? (geography) • Accessing Research Data • Has it been collected, published, distributed? • Data Librarian’s Toolkit • Traditional library resources and search strategies • Research Guideshttp://dataservices.lib.msu.edu • Data archives • Telephone/Email

  11. IASSIST: International Association for Social Science Information Service and Technology Scholarly communication, data sharing and citations Professional Development and Research Interests

  12. The Context for Data Citations Information Standards Publishing: Journals, Books, etc. Library Systems: Organization, Search, Retrieval Style Manuals Citations Reference Desk:Known-item searches Research Data Use & Reuse Data Citations Citation Analysis Behavior Motivations Data Sharing Scholarly Communication Creation  Evaluation  Dissemination  Preservation

  13. Do authors cite data? • Sometimes, but not consistently! Frequency of Data Citations n=49

  14. Data Services Foundation MLIS Relevant coursework: Research Methods, Advanced Reference, Government Information Social Science B.A. (or statistics) On-the-job experience and support Professional Associations and Networks ICPSR Summer Institute Data Curation/Management Foundation MLIS Relevant coursework: archives and preservation, computer programs and systems, metadata On-the-job experience and support Professional Associations and Networks Digital Curation Centre, ICPSR Digital Curation Training for Data Librarians

  15. Questions?

  16. Selected Resources Altman, M., & King, G. (2007). A proposed standard for the scholarly citation of quantitative data. D-Lib Magazine, 13(3/4). Retrieved from http://dx.doi.org/10.1045/march2007-altman Cook, M. N. C., Hernandez, J. J. C., & Nicholson, S. C. (2001). Numeric Data Products and Services. SPEC Kit (pp. 93): Association of Research Libraries, Washington, DC. Office of Leadership and Management Services. (ERIC Document Reproduction Service No. ED463758) Retrieved from ERIC.  Digital Curation Centre website: http://www.dcc.ac.uk/ Green, T. (2009). We need publishing standards for datasets and data tables OECD Publishing White Paper. Paris: OECD Publishing. Retrieved from http://dx.doi.org/10.1787/603233448430 Griffiths, A. (2009). The publication of research data: Researcher attitudes and behaviors. The International Journal of Digital Curation, 4(1), 46-56. Retrieved from http://www.ijdc.net/index.php/ijdc/article/viewFile/101/76 IASSIST website: http://www.iassistdata.org/ ICPSR website: http://www.icpsr.umich.edu. Mahoe, R. (2004). Reflections on the Dissertation Process and the Use of Secondary Data. Educational Perspectives, 37(2), 34-37. Retrieved from http://www.hawaii.edu/edper/pdf/Vol37Iss2/Reflections.pdf Nelson, B. (2009). Empty Archives. Nature, 461(7261), 160-163. Olken, F., & Gey, F. (2006). Social science data library manifesto. Retrieved from https://hpcrd.lbl.gov/staff/olken/ssdl/ssdl_manifesto.html Read, E. J. (2007). Data Services in Academic Libraries: Assessing Needs and Promoting Services. Reference & User Services Quarterly, 46(3). Retrieved from http://www.rusq.org/wp-content/uploads/2007/46n3/read.pdf

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