Optimizing Data Management for Research Success
"Explore practical examples and applications of FAIR principles in biospecimens and data to meet the NIH Data Management and Sharing Policy. Learn how enhancing machine-actionable metadata and technical infrastructure supports data reuse and discovery in research settings."
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https://www.niddk.nih.gov/news/meetings-workshops/2023/central-repository-20th-anniversary-workshophttps://www.niddk.nih.gov/news/meetings-workshops/2023/central-repository-20th-anniversary-workshop Session IV FAIRization of NIH-generated Resources: Meeting the Intent of the 2023 Data Management and Sharing Policy These slides https://osf.io/vqwt9
Session IV Panel: Robin Taylor M.L.I.S., NLM, NIH Data standards perspective Biospecimen data standards perspective Marianne Henderson M.S. CPC, PMP, NCI, NIH Jen Darragh M.L.I.S., Duke University Libraries Academic librarian/curator perspective M. Todd Valerius Brigham and Women's Hospital Researcher's perspective
Session IV Panel Chair: Erik Schultes GO FAIR Foundation, Leiden Academic Center for Drug Research http://orcid.org/0000-0001-8888-635X eriks@gofair.foundation
Session IV: Background: NIH and NIDDK s Strategic goals maximize the value and impact of resources advance the biomedical data ecosystem enhance data resources that facilitate research catalyze the scientific discovery improve health outcomes.
Session IV: NIH s Data Management and Sharing Policy https://sharing.nih.gov/data-management-and-sharing-policy Secondary research https://repository.niddk.nih.gov/home/
Session IV: NIH s Data Management and Sharing Policy https://sharing.nih.gov/data-management-and-sharing-policy Secondary research https://repository.niddk.nih.gov/home/ Goal: to discuss practical examples of the application of FAIR principles to biospecimens and data in preparation for secondary uses to meet the intent of the NIH DMS policy.
https://www.nature.com/articles/sdata201618 Machine-actionable metadata Technical infrastructure (generic services) Collective decisions (domain specific agreements)
https://www.nature.com/articles/sdata201618 the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. Machine-actionable metadata Technical infrastructure (generic services) Collective decisions (domain specific agreements)
https://www.nature.com/articles/sdata201618 the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. Automating F, A, I and R
FAIR Implementation Profile Workshops http://bit.ly/FIPminiquestionnaire
