1. Legacy Research Data Management for Librarians: A Case Study Tina Qin Science Librarian Michigan State University qinna@msu.edu 517.884.7666

2. The Data Steward A group of library science students No formal data management training Possess few data management resources Self-trained from free available online resources

3. The Dataset Public Health Data A legacy Dataset created by Dr. Smith 856 Data Files and two descriptive documents* Data spanned several decades * One document is a Microsoft Word file created by Dr. Smith to explain the names of the folders. The second document is a ReadMe text file with information gathered during the data management librarian's interview with Dr. Smith.

4. Data:.dat,.txt,.0000,.0001,.ask,.def,.mick,.fix, some no extensions Input:.sps,.george,.orig,.fix, some no extensions Output/Print Out:.out,.inf,.put,.tab, some no extensions Copies:.old,.save,.fixed,.back Plain Text/Other:.info,.com,.jnl, some no extensions Software compatibility General lack of knowledge of old software and systems Understanding context Naming complexity Difficulty understanding language within files Identifying Desiderata Understand the Dataset

5. Identify the Issues Organize the data Provide context for the data Storage and access

6. Organizing and Providing Texts Metadata options Naming convention for the folders Data Curation Profiles (DCP) Toolkit folderName_originalName_sourceName_sourceFormat [questionnaire or data file] Examples: IndianaUniversityStudy2001_slisclass_PHQ_questionnaire IndianaUniversityStudy2001_sliswrit_slisclass_data

7. Storage and Access Storage platforms  Institutional repository  Institutional server Access issues  Users  Public health subject

8. Recommendations Education Documentation Leverage Existing Resources Licensing and Access Sustainable Policies

9. Digital Scholarship Collaborative at Michigan State University

10. References Marshall, B., O’Bryan, K., Qin, N. & Vernon, R. 2013. Organizing, Contextualizing, and Storing Legacy Research Data: A Case Study of Data Management for Librarians. Issues in Science and Technology Librarianship, Fall 2013. DOI:10.5062/F4K07270. Bardyn, T.P., Resnick, T., & Camina, S.K. 2012. Translational researchers' perceptions of data management practices and data curation needs: findings from a focus group in an academic health sciences library. Journal Of Web Librarianship, 6(4), 274-287. Ferguson, J. 2012. Description and annotation of biomedical data sets. Journal of eScience Librarianship 1(1), 51-56. Garritano, J.R. & Carlson, J.R. 2009. A subject librarian's guide to collaborating on e- science projects. Issues in Science and Technology Librarianship [Internet]. [Cited 2013 June 11]; 57. Available from http://www.istl.org/09-spring/refereed2.htmlhttp://www.istl.org/09-spring/refereed2.html Heidorn, P.B. 2011. The emerging role of libraries in data curation and e-science. Journal of Library Administration 51(7-8), 662-672. Latham, B. & Poe, J. 2012. The library as partner in university data curation: A case study in collaboration. Journal Of Web Librarianship, 6(4), 288-304.