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Legacy Research Data Management for Librarians: A Case Study

Legacy Research Data Management for Librarians: A Case Study. Tina Qin Science Librarian Michigan State University qinna@msu.edu 517.884.7666. The Data Steward. A group of library science students No formal data management training Possess few data management resources

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Legacy Research Data Management for Librarians: A Case Study

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  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. Understand the Dataset 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

  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.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. 

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