NIH grants submitted on or after January 25, 2023 must adhere to the new Data Management and Sharing (DMS) Policy. The policy applies to all UAB grant submissions to the NIH that will generate scientific data. Applicants will be required to submit a two-page data management and sharing plan.
There are notable differences from earlier NIH policies:
The final DMS Policy defines Scientific Data as: “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.”
If your proposed project generates scientific data, you will likely need a DMS plan.
Still not sure, check out this complete list of activity codes.
Download a the slides from the Part 1 (pdf)
Download the answers to all questions posed in the Part 1 webinar chat log (pdf)
Review of example plans written by and for UAB researchers followed by an extended Q&A session with the UAB DMSP task force
Download the slides from Part 2 (pdf)
Explicit federal, state, local, or Tribal law, regulation, or policy prohibits disclosure
Concerns around privacy or safety of research participants
Pre-existing consent policies or agreements prohibit sharing of participant-derived material
Digitization of datasets is impractical
Fill out the template below to craft your DMS plan following the 2023 NIH guidelines
Developed through a collaboration between the RDM librarian and UAB principle investigators. The plans were written before the NIH data management and sharing policy became effective and has not been reviewed by the NIH.
Example 1. This sample was made by transforming a resource sharing plan into a DMSP for an R21 project. It contains proteomics, metabolomics and sensitive clinical data
Example 2. Sample plan for an R01 grant studying cardiac function in a murine model system. It contains imaging, transcriptomic, and epigenomic data types.
Example 3. Sample plan for a K23. The proposed study is a randomized clinical trial with both quantitative and qualitative data. Sensitive data shared via controlled access through a clinical trials data repository.
Example 4. Sample plan for an R01. The proposed study includes both retrospective analysis, prospective biobank collection of bacterial isolates. Major data types include clinical microbiological, clinical case data, and bacterial genomic sequences.
Example 5. Sample plan for an R01 studying bacterial infection in a murine model system. Data types include bacterial genomics, transcriptomics, bioinformatics and image data.
Example 6. Sample plan for an Early Stage Investigator (ESI) R01 cross-sectional study of microbiome, neurology and oral cancers using multiple in vitro and in vivo models. Data types include genomics, gene and protein expression profiles and other phenotypes.
DMPTool provides templates that can be used in developing Data Management Plans that meet the requirements for grant applications sent to US federal funding agencies. They offer templates for both the current guidelines and the forthcoming 2023 requirements.