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Guest Blog: Start Preparing for NIH-Mandated NIH Data Sharing
By Hannah Calkins, MSLIS, and Nicole Feldman, MSLIS
Editor’s Note: Arcus provides support for data management and data sharing through Arcus Research Data Management Services and the recently published Arcus Data Sharing & Attribution Standard Operating Procedure. In this guest blog, two members of the Arcus Library Science Team — Metadata Librarian Hannah Calkins, MSLIS, and Digital Archivist Nicole Feldman, MSIS, — discuss how the final NIH policy for data management and sharing will affect you. Contact arcus-support [at] email.chop.edu (Arcus Research Data Management) about specific topics and available resources, including tip sheets and templates for data documentation, guidance on file naming, templates for project organization, REDCap best practices, and many more.
The National Institutes of Health (NIH) recently released a new data sharing and management policy that will go into effect Jan. 25, 2023. The policy will apply to all research funded in whole or in part by the NIH that generates scientific data and requires researchers to create specific data management and sharing plans for their research efforts.
What does this mean for CHOP researchers and their data?
With roughly two years to prepare and begin implementing data management and sharing plans, this is an excellent opportunity to consider how these practices can be applied to the various types of data we work with here at CHOP, and to understand how the NIH defines terms like “data management” and “data sharing.” Notably, data sharing does not necessarily mean public dissemination of data. Rather, the NIH encourages sharing to the maximum extent while still respecting protections for human subjects as well as tribal law, institutional policies, and other regulations.
The NIH has provided supplemental documentation to assist researchers in understanding the policy including guidance on the following:
- Elements of a data management and sharing plan
- Allowable costs for data management and sharing
- Selecting a repository for your scientific data
Arcus Offers Assistance in Understanding and Implementing the Policy
The Arcus Data Sharing & Attribution Standard Operating Procedure provides a framework for responsible and managed collaborative research and internal data sharing at CHOP. It supports two major requirements outlined in the NIH Policy for Data Management and Sharing by positioning Arcus as an internal repository where data can be securely preserved, curated, discovered, and disseminated in a manner that mirrors the best practices and desired aims of the broader research community, in effect, ensuring compliance.
CHOP researchers can discover data through Arcus self-service tools, but actual release of data goes through a rigorous vetting and approval process, and data cannot be accessed outside of the secure Arcus environment. For an overview of the Arcus Data Sharing & Attribution Standard Operating Procedure, see the one sheet Summary. If you have questions about data sharing via Arcus, DLarcuslibraryscience [at] email.chop.edu (contact the Arcus Library Sciences Team).