LEARN THE NIH DMS POLICY REQUIREMENTS
Mass General Brigham created a one-page overview of the NIH Data Management & Sharing Policy to assist our research community with meeting the requirements in their sponsored research projects.
NIH DMS POLICY DEFINITIONS
- Scientific Data: The recorded factual material commonly accepted in the scientific community as of sufficient quality to validate and replicate research findings, regardless of whether the data are used to support scholarly publications. Scientific data do not include laboratory notebooks, preliminary analyses, completed case report forms, drafts of scientific papers, plans for future research, peer reviews, communications with colleagues, or physical objects, such as laboratory specimens.
- Data Management: The process of validating, organizing, protecting, maintaining, and processing scientific data to ensure the accessibility, reliability, and quality of the scientific data for its users.
- Data Sharing: The act of making scientific data available for use by others (e.g., the larger research community, institutions, the broader public), for example, via an established repository.
- Metadata: Data that provide additional information intended to make scientific data interpretable and reusable (e.g., date, independent sample and variable construction and description, methodology, data provenance, data transformations, any intermediate or descriptive observational variables).
- Data Management & Sharing Plan: A plan describing the data management, preservation, and sharing of scientific data and accompanying metadata.
MASS GENERAL BRIGHAM INFORMATION SESSIONS
Presentation is the same in each session, but the Q&A sessions differ. Access the Presentation Slide Deck here. Recordings for each session are below.
EXTERNAL WEBINARS & EDUCATIONAL RESOURCES
This site includes recorded webinars addressing topics such as:
- Webinar I: Understanding the New NIH Data Management and Sharing (DMS) Policy
- Webinar II: Diving Deeper into the new NIH Data Management and Sharing Policy
The seminar series highlights exemplars of data sharing and reuse on the second Friday of each month at noon ET. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings. A different NIH institute or center (IC) will also share its data science activities each month.
A series of presentations and panel discussions by generalist repositories to learn about available repository resources and best practices for sharing NIH-funded research.
Presented by the members of the NIH Generalist Repository Ecosystem Initiative (GREI): Dryad, Dataverse, Figshare, Mendeley Data, Open Science Frameworks, and Vivli.
Sessions include:
– Introduction to Generalist Repository for NIH Data Sharing
– Meet the GREI Generalist Repositories
– How to include generalist repositories in your NIH data management and sharing plans
– Best practices for sharing data in a generalist repository: Metadata, data preparation, and reporting
DataWorks ! Salons enable researchers to gather to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere.
The Countway Library offers courses on Data Management and Sharing, which are open to MGB faculty and postdocs.