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STAR METRICS® is a federal effort to create a repository of data and tools that will be useful to assess the impact of federal R&D investments. The National Institutes of Health (NIH) and the National Science Foundation (NSF), under the auspices of Office of Science and Technology Policy (OSTP), are leading this project with funding provided by NIH, NSF, the U.S. Department of Agriculture, and the Environmental Protection Agency.
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The information found in Federal RePORTER is drawn from several extant databases — eRA databases, Medline, and PubMed Central-using newly-formed linkages among these disparate data sources.

Agencies with data in Federal RePORTER:

  • DOD (Department of Defense)
    • Center for Neuroscience and Regenerative Medicine (CNRM)
    • Congressionally Directed Medical Research Programs (CDMRP)
    • Combat Care Casualty Research Program (CCCRP)
    • Defense and Veterans Brain Injury Center (DVBIC)
  • ED (Department of Education)
    • Institute of Education Sciences (IES)
  • Environmental Protection Agency (EPA)
  • HHS (Department of Health and Human Services)
    • Administration for Children and Families (ACF)
    • Agency for Healthcare Research and Quality (AHRQ)
    • Centers for Disease Control and Prevention (CDC)
    • Food and Drug Administration (FDA)
    • National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR)
    • National Institutes of Health (NIH)
  • National Aeronautics and Space Administration (NASA)
  • National Science Foundation (NSF)
  • USDA (United States Department of Agriculture)
    • Agriculture Research Service (ARS)
    • Forest Service (FS)
    • National Institute of Food and Agriculture (NIFA)
  • U.S. Department of Veterans Affairs (VA)

For agencies using the NIH′s IMPAC II Reporting DataBase (IRDB), AHRQ, CDC, FDA, VA, and NIH, Federal RePORTER also includes links to publications citing support from projects in the IRDB.

In addition, publications data is also available for these agencies - ARS, FS, EPA, NSF and CDMRP.

The comprehensiveness of all these databases varies, as does the quality of the linkages formed among them. We continue to enhance the quality of data available in Federal RePORTER and promote greater linkages to other datasets.

Federal RePORTER data are populated in one of three ways:

  • Project information is submitted by the individual agencies. These files are then formatted to the Federal RePORTER data requirements. The resulting file information is checked for data quality prior to the upload and again after its integration into the system.
  • NASA and NSF data are downloaded in CSV format by fiscal year from the Research Spending & Results page provided by
  • The NIH project information is taken from NIH′s IMPAC II Reporting DataBase (IRDB) in a format that matches Federal RePORTER data requirements. The eRA (Electronic Research Administration), as part of the NIH′s Office of Extramural Research, maintains the IRDB.

Federal RePORTER currently receives updates to data on an annual basis while the data in NIH RePORTER is updated weekly. Federal RePORTER will be working to update this information more frequently as feasible.

Federal RePORTER currently refreshes on an annual basis. Future planned enhancements will allow for more frequent updates.

The costs of the subprojects in multi-project grants are italicized in Federal RePORTER. These costs will be included in the costs of the parent award, so, to avoid double-counting, the italicized subproject costs should be excluded when calculating the amount of total funding for a list of projects that contains both the parent award and its subprojects.

Smart Search by default searches for all the fiscal years. When a user explicitly selects fiscal year as one of the search criteria, the default search is for the previous fiscal year data only. In "Advanced Search" the default fiscal year selection is always the previous fiscal year.

Exception to the above rule is when a user selects a different fiscal year in Smart Search form and then clicks the “Advanced Search” button, the choices from Smart Search carries over to the Advanced Search query form and vice-versa.

Projects counts, publications and patents available from reported agencies

- - - - - - - -
Agency Projects Publications Patents
2000-2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
ACF             64 32 38 108 36 41        
AHRQ   309 397 547 447 436 500 488 511 518 475 468 444 428


ARS 683 222 162 206 246 172 234 112 169 143 928 1114 1218  


All CDC   3952 4125 4521 4379 4547 4401 4097 3506 1578 581 688 555 510


CCCRP no records no records no records 1 1 2 2 8 6 3         no records no records
CDMRP 1 673 926 782 597 494 619 826 854 792 907 932 1001  


CNRM   62   12 14 11   10 10 10 2          
DVBIC 33 21 38 50 60 67 69 65 64 49            
EPA 1454 203 143 343 271 238 113 199 208 84 68      


FDA   145 191 208 248 415 430 484 569 618 544 559 546 821


FS         105 123 135 135 139 134 138 130        
IES           134 205 283 386 406 441 493        
NASA   2460 2004 1903 1622 1379 1569 1647 1757 1385 512          
NIDILRR 326 85 69 71 91 90 73 62 54 82 70 64        
NIFA   3270 3542 3325 2827 2720 2979 2896 3038 2834            
NIH   80978 91346 85791 74584 69846 67701 66802 67062 68303 70083 77517 75466 77536




NSF   116961529913632117361181311440112901214712716 12231 12603 12104 12979


VA     315 8 836 880 1103 1508 1747 1363 1406 1602 1838 2148



  • Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline.
  • Some publications will be inadvertently linked to the wrong grant or missing altogether. The association of a publication to NIH-funded extramural research requires that the author(s) acknowledge NIH support in the article and that the acknowledgement be in a form that can be readily associated with a specific grant or contract. Variations in the format used to cite NIH funding will lead to either an inability to make an association or erroneous matches of publications to grants and contracts. The quality of these associations will increase with implementation of the NIH Public Access policy which assures linkages between publications and NIH grants and contracts, and the development and implementation of better data mining techniques.
  • Federal RePORTER lists only publications found in PubMed or PubMed Central. There are publications resulting from NIH-funded research that appear in journals that are not part of the PubMed collection and published before the NIH Public Access policy went into effect.
  • Publications are available for ARS, EPA, and NSF projects and projects derived from the IMPAC II DataBase which includes: AHRQ, CDC, FDA, VA, and NIH.

  • Patents are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable patenting timeline.
  • Patent information in Federal RePORTER is incomplete. The patent data comes from the iEdison (Interagency Edison) database. Not all recipients of NIH funding are compliant with iEdison reporting requirements, particularly after their NIH support has ended.
  • Patents are only available for projects derived from the IMPAC II DataBase which includes: AHRQ, CDC, FDA, NIH, and VA.
  • Patents are only available for NIH projects

Yes, Federal RePORTER query results can be exported to a CSV or an Excel file. You will then have all the data elements available on each project, not just those elements you see on the query form or results page. Data can also be bulk downloaded in both XML and CSV formats using the Federal ExPORTER tool (

The "Match Scores" shown on the "Similar Projects" tab indicate the relative degree of similarity of a project to each of the other projects listed. The higher match score indicates greater similarity. They are calculated in the following manner:

  1. Any base application RCDC term with a weight of 50 or more is selected for use in the comparison.
  2. The RCDC data is searched for any applications coded for one or more term(s) matching the base application comparison terms.
  3. A match score is computed for any term-matching applications. This match score is the dot product computed from the term weights of all matching terms.

To submit a request to correct an error in the data, please use the Feedback link at the top of the screen. Please include a detailed description of the problem, including the project number and the data to be changed.

Keywords from the project title and abstract information are used to generate the project terms. The terms are generated using the Research, Condition, and Disease Categorization (RCDC) web service.

If you'd like more information than what is available in the public domain, you can submit a written Freedom of Information Act (FOIA) request for a copy of a specific grant application to the NIH Institute or Center (IC) that funded the grant.
The NIH FOIA website at lists the names and addresses of FOIA coordinators for the various ICs.

To request a change in the published abstract, please contact the Program Official assigned to your grant. The PO name can be found in the Notice of Grant Award.

We welcome your comments! Please use the Feedback link found at the bottom of the screen and let us know what you think.

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