As you may know, NIH has released their Final Policy for Data Management and Sharing on October 29, 2020 and it will be effective in January, 2023. In the official notice, NIH mentioned:
This Policy establishes the requirements of submission of Data Management and Sharing Plans and compliance with NIH Institute, Center, or Office (ICO)-approved Plans. It also emphasizes the importance of good data management practices and establishes the expectation for maximizing the appropriate sharing of scientific data generated from NIH-funded or conducted research, with justified limitations or exceptions. This Policy applies to research funded or conducted by NIH that results in the generation of scientific data.
ECU Libraries are prepared and more than happy to provide support related to the new policy and composing a Data Management and Sharing Plan.
We provide access and support for Dataverse and Open Science Framework to store research datasets that do not contain personally identifiable information. Both of these tools are included in the list of Generalist Repositories highlighted on the NIH Data Repositories page. Open Science Framework also assists researchers with managing research documents and workflows, supporting greater transparency. For Data Management Plans, we provide access to and support for DMPTool.org as the primary tool for you to compose an appropriate Data Management Plan in compliance with the agency requirement and policy in your funding proposals. The updated NIH Data Management Plant templates will be available in DMPTool.org by the effective date of January 2023.
If you have any questions, or need our help and support with research data management practices, please do not hesitate to contact us:
Academic Library Services:
Scholarly Communication Department, firstname.lastname@example.org, 252-328-2261
Kerry Sewell, Research Librarian. BROWDERK@ECU.EDU, 252-744-0477
(Courtesy of the Libraries of the University of Texas at Austin and Texas Tech University )
A DMP will help you to properly manage your data for your own use, meet funder requirements, and enable data sharing in the future. A DMP describes the structure and nature of the data as well as the activities and technical requirements to gather, merge, transfer, organize, document, analyze and preserve research data.
Why does a DMP matter? Plan ahead to avoid the "Data Sharing and Management Snafu in 3 Short Acts"
(Courtesy of the NYU Health Sciences Library)
Generic Metadata Schemata
If you cannot use a discipline-specific metadata standard, try to use a generic metadata schema such as Dublin Core or DataCite Metadata Schema.
Additional guidance on documenting your data: