Title:
Reviewing Data Management Plans: Practical Experience for New Service Providers

dc.contributor.author Winchester, Stacy
dc.contributor.author Sheffield, Megan
dc.contributor.author Exner, Nina
dc.contributor.author Parham, Susan Wells
dc.contributor.corporatename Georgia Institute of Technology. Library en_US
dc.date.accessioned 2022-10-13T13:36:22Z
dc.date.available 2022-10-13T13:36:22Z
dc.date.issued 2022-10-12
dc.description This presentation was given as part of a workshop at the Southeast Data Librarian Symposium on October 12, 2022. en_US
dc.description.abstract Many academic librarians begin their work in research data support by offering reviews of Data Management Plans (DMPs, also called Data Management and Sharing Plans/DMSPs), which are required components of many grant proposals. After a researcher drafts a DMP, they may want someone to review it, assess its fit with best practices, and give feedback. Reviewing DMPs means evaluating and offering advice for improvement. But how does a library get started with reviewing DMPs? This workshop is tailored for new data librarians and subject librarians starting in data, who want to provide a DMP or DMSP support toolbox. The panel portion will compare real-world practices on how to provide DMP reviews for existing drafts created by researchers in different institutional settings. Next, presenters will compare different approaches, such as contrasting the DART Rubric (“DMPs as A Research Tool”) for in-depth National Science Foundation (NSF) reviews versus the Caltech NSF checklist for fast reviews; discussing how FASEB’s NIH DMSP contest rubric differs from the DART rubric; and summarizing how funder notes in DMPTool can be used for reviewing DMPs from various funders. This discussion will help new DMP evaluators think about how the process might change, and not change, for different funders’ DMPs. Finally, everyone will have guided practice in using the DART rubric to evaluate a simple research proposal and sketch out feedback for improvements in the DMP. At the end, the whole class will be better prepared to evaluate DMPs and offer researcher feedback on how to improve their Plan to make their research data FAIR. en_US
dc.identifier.uri http://hdl.handle.net/1853/67449
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartof https://osf.io/ut268/
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject Data management plan, DMP, FAIR, DART rubric en_US
dc.title Reviewing Data Management Plans: Practical Experience for New Service Providers en_US
dc.title.alternative Reviewing Data Management Plans: Practical Experience for New Service Providers Workshop en_US
dc.type Text
dc.type.genre Presentation
dspace.entity.type Publication
local.contributor.author Parham, Susan Wells
local.contributor.corporatename Library
relation.isAuthorOfPublication f322e6bf-c27f-4c5b-9aee-db8672c891cf
relation.isOrgUnitOfPublication bf0ff3d1-48ff-4cf4-baa3-4c783958e37a
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