Notice of Special Interest (NOSI): Promoting Data Reuse for Health Research

Notice NumberNOT-OD-24-096


This Notice of Special Interest (NOSI) solicits competitive revision applications that focus on data reuse and secondary data analysis in NIH-funded data repositories and knowledgebases to advance scientific inquiry and address health research questions.

Research Objectives

The primary goal is to promote data reuse and secondary data analysis to drive advancements in biomedical, behavioral, clinical, or health-related research.

For this NOSI, applications must:

  • Focus on advancing scientific inquiry and addressing pivotal health research questions via data reuse or secondary data analysis.
  • Include data from at least one publicly accessible, NIH-funded data repository or knowledgebase. Applications that use less or under-utilized data repositories or knowledgebases are encouragedThe data resource can be open, registered, or controlled access. However, the data resource must be available to the general research public and permit the submission or upload of new data. Guidance on NIH-funded data repositories and knowledgebases is available at
  • Describe how results and best practices for data reuse are to be shared with NIH and the broader community. In addition, the description should include methods for tracking and documenting the data reuse experience over the period of award. Key elements to consider include:
    • assessments of the data with regard to the findability, accessibility, interoperability, and reusability (FAIR) principles;
    • how the quality of the data, in terms of FAIR principles, influenced the outcomes of the project;
    • propose a mechanism to share results generated from analysis of existing data, tools associated with the analysis, and other digital assets adhering to the FAIR principles;
    • data reuse experiences and lessons learned from the project.

Additionally, applicants are encouraged to develop projects for competitive revision to active parent awards that include, but are not limited to:

  • Demonstrating innovative approaches to data reuse, which may include novel methods of data analysis;
  • Exploring and implementing strategies for leveraging data across different data resources or data types;
  • Identify specific actions or strategies to ensure that data obtained through secondary analysis is integrated back into existing data resources while minimizing quality loss;

For more information, please see the opportunity webpage.