Hadoop: A programming framework that supports the processing of large data sets in a distributed computing environment.
Previously, the NIH only required grants with $500,000 per year or more in direct costs to provide a brief explanation of how and when data resulting from the grant would be shared.
The 2023 policy is entirely new. Beginning in 2023, ALL grant applications or renewals that generate Scientific Data must now include a robust and detailed plan for how you will manage and share data during the entire funded period. This includes information on data storage, access policies/procedures, preservation, metadata standards, distribution approaches, and more. You must provide this information in a data management and sharing plan (DMSP). The DMSP is similar to what other funders call a data management plan (DMP).
In addition, to reduce burden on investigators also subject to the Genomic Data Sharing (GDS) Policy, NIH will no longer require submission of separate GDS Plans. Instead, one plan will be expected where applicants describe genomic data sharing within their DMSP.
The DMSP will be assessed by NIH Program Staff (though peer reviewers will be able to comment on the proposed data management budget). The Institute, Center, or Office (ICO)-approved plan becomes a Term and Condition of the Notice of Award.
Adapted from University of Arizona Data Management Plan Guide
If you plan to generate scientific data, you must submit a Data Management and Sharing Plan to the funding NIH ICO as part of the Budget Justification section of your application for extramural awards.
Your plan should be two pages or fewer and must include:
Adapted from University of Arizona
The data catalog will be a website tool to facilitate researchers’ discovery of data by providing a searchable and browsable online collection of records describing datasets generated by ZSOM, Northwell Health, and Feinstein Institute researchers. To access the data catalog, please click HERE.
What is data management?
Data management is an administrative process that includes acquiring, validating, storing, protecting and processing required data to ensure the accessibility, reliability and timeliness of the data for its users.
This site is compliant with the W3C-WAI Web Content Accessibility Guidelines
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