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These resources are primarily drawn from the NIH guidance that has been provided to date. We encourage you to contact us using the Get Help tab for personalized assistance for your data management plan or to answer any questions you may have!
The new Data Management Sharing Policy allows researchers to budget for data management and sharing activities. Reasonable costs for NIH budget requests could include:
Costs must be incurred during the performance period.
Currently, the NIH is still discussing raising the budget cap for grants. However, as of now budget caps are not being raised.
NIH will no longer require a single line for data management sharing (DMS) costs, but DMS costs can be requested in multiple cost categories (ex. personnel, equipment, supplies, other expenses, etc.). NIH will still require a specification of DMS costs in the "Budget Justification" section of the R&R Budget Form or in the "Additional Narrative Justification" section of the PHS 398 Modular Budget Form.
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Reproduced from Hofstra University LibGuides.
DMPTool's general guidance introduces researchers to what a DMP is, the expected elements within it, and tricks for formatting data in the cleanest way.
Open Science Framework is an open source software project that facilitates open collaboration in science projects. Explore the DMSP Project Wiki here to find background information, researcher checklists, and example DMSPs.
Certain data sets may need to have controlled access for legal or ethical reasons or to protect Tribal sovereignty. UIC's Office of the Vice Chancellor has many templates and forms researchers may need, including a downloadable Intake Form: Data Use Agreement.
5 Steps for Removing Human Subject Identifiers
Johns Hopkins Libraries have put together a resource for describing what identifiable data looks like and best practices for making human subject data safe to share.
NIH Informed Consent Resources
The NIH has created a resource for researchers working with biospecimens that describes consent needed for the storage and sharing of data collected during primary research that will be used for secondary research.