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Overview & Library Support for Data Management/Sharing

This presentation by Jim Van Loon, MSME/MLIS Science Librarian, outlines the essential aspects of data management and sharing mandates from U.S. government funders, highlighting the importance of these practices in the research lifecycle. Key U.S. research agencies’ requirements, such as those from the NIH and NSF, are examined. The presentation also addresses the benefits of sharing research data, including increased citation rates and improved scientific collaboration. Resources available through the WSU Library System for data planning and support are discussed, aimed at aiding researchers in compliance and effective data management.

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Overview & Library Support for Data Management/Sharing

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  1. Overview & Library Support for Data Management/Sharing Jim Van Loon, MSME/MLIS Science Librarian

  2. Contents • Scope of presentation • Background: data management / data sharing mandates from US government funders • Other reasons to manage/share research data • Library resources and support for planning • Conclusion

  3. Scope of Presentation Research Lifecycle (top row) and Library Data Services (bottom row) Focus: data planning for US government research funders

  4. U.S. Research Agencies and their Data Management/Sharing Mandates • NIH Data Sharing Plans: NIH requests that all extramural applicants seeking $500,000 or more in direct costs in any one year provide a data-sharing plan in their applications. • Some NIH solicitations will ask for data sharing plans (regardless of grant amount), particularly if online archives and public access are significant components.

  5. U.S. Research Agencies and their Data Management/Sharing Mandates (cont’d) • NSF Data Management Plans: Proposals must include a supplementary document of no more than two pages labeled “Data Management Plan”. • Supplement should describe how the proposal will conform to NSF policy on the dissemination and sharing of research results. • Data Management Plan will be reviewed as an integral part of the proposal, coming under Intellectual Merit or Broader Impacts criteria.

  6. U.S. Research Agencies and their Data Management/Sharing Mandates (cont’d) • White House OSTP: February 22, 2013 memorandum directs each Federal agency with over $100 million in annual research and development expenditures to develop plans to support increased public access to the results of research funded by the Federal Government • Plans should include public access to scientific publications and to scientific data in digital formats. • Federal agencies were to submit their plans to OSTPby August 22, 2013. Plans were not made public at that time.

  7. Other reasons to manage/share research data • Sharing detailed research data is associated with increased citation rate1 • Willingness to share research data is related to the strength of the evidence and the quality of reporting of statistical results2 1Piwowar, et al. (2007). doi: 10.1371/journal.pone.0000308 2Wicherts, et al. (2011). doi: 10.1371/journal.pone.0026828

  8. Other reasons to manage/share research data (cont’d) • Data sharing achieves many important goals for the scientific community, such as • reinforcing open scientific inquiry, • facilitating education of new researchers, • enabling the exploration of topics not envisioned by the initial investigators, and • permitting the creation of new datasets by combining data from multiple sources. (adapted from http://grants.nih.gov/grants/policy/data_sharing/data_sharing_faqs.htm)

  9. WSU Library System – Online guide for Research Data Services • http://guides.lib.wayne.edu/datamanagement • NSF Data Management (policies, tools, templates) • NIH Data Sharing (policies, tools) • Data Repositories (directories and evaluation criteria) • Provides background information, FAQs, suggestions for dealing with unique situations (examples: sensitive data, proprietary data)

  10. WSU Library System – Consultation services for data planning • Data interview with researchers • Review solicitation for unique requirements • Identify suitable data repository and metadata • Use of existing/mature subject repositories where available • Trusted Repositories Audit & Certification (TRAC) evaluation criteria for repositories • Draft language for data sharing plan • Example 1 (what we provided to PI) • Example 2 (final version with edits by PI)

  11. Conclusion – Future Work • The topic continues to evolve • Funder requirements vary (check the solicitation) • Work in progress: “checklist” of WSU policies related to data sharing / data publication • Thanks!

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