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Abstract:
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Making the data behind a research project publicly available is the cornerstone of supporting research reproducibility. Increasingly funding agencies, publishers, and scholarly societies are requiring that researchers develop plans for sharing their data beyond the boundaries of project personnel. However, sharing research data in ways that are FAIR (findable, accessible, interoperable and reusable) is not an easy task, particularly for those who have not previously shared their data. Many academic libraries have recognized the need to support data sharing and reproducibility, and are responding by offering consultation, education and data repository services. In this presentation, I will describe the University of Michigan Library’s experience in developing services based on the needs of researchers, detail the considerations that go into sharing a data set in ways that enhance its scholarly value, and address some of the barriers that limit the adoption of good practices in data sharing and research reproducibility.
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