CASRAI Dictionary

Tag: nih reporter advanced search

  • NIH Matchmaker: Find Peers and Study Sections

    NIH Matchmaker is a free text-similarity search tool built into NIH RePORTER that lets a researcher paste an abstract or specific aims page and instantly see the most similar NIH-funded projects, the institutes that funded them, the activity codes used, and the study sections that reviewed them. For grant offices and research administrators, this turns a guessing exercise — “who else works in this space, and who will review us?” — into a data-driven five-minute check before a proposal is submitted.

    NIH RePORTER (Research Portfolio Online Reporting Tools Expenditures and Results) is the National Institutes of Health’s public database of funded projects, publications and patents, maintained by NIH’s Office of Extramural Research. Matchmaker is one of several search modes inside it, alongside keyword-based Advanced Search and the Center for Scientific Review’s separate Assisted Referral Tool (ART). Most institutional grant offices know Advanced Search well and have never opened Matchmaker — which is exactly the gap this guide closes.

    What is NIH Matchmaker?

    NIH Matchmaker is the text-similarity search feature of NIH RePORTER, NIH’s public grants database. Rather than requiring a researcher to guess the right keywords, Matchmaker accepts a block of free text — typically a project abstract or specific aims section — and returns a ranked list of previously funded NIH projects with comparable scientific content.

    The tool sits inside the same interface as RePORTER’s project search and requires no eRA Commons login to run a search; it is open to the public, including institutional grant administrators who are not themselves the principal investigator (PI) on a proposal. That distinction matters, because eRA Commons access is only required later, at submission and progress-report stage, not for discovery searches.

    How Matchmaker works: text in, peers out

    A user pastes text — up to roughly 15,000 characters — into the Matchmaker search box on reporter.nih.gov. The system parses the terms and concepts in that text and compares them against NIH’s full corpus of funded project abstracts, returning matched projects ordered by a relevance (“match”) score rather than by exact keyword overlap.

    This is the practical advantage over Advanced Search: a researcher does not need to know NIH’s internal vocabulary for their field. A specific-aims paragraph written in plain scientific prose is enough to surface funded peers, even where the terminology differs from what NIH’s controlled taxonomy would predict.

    • Paste an abstract, aims page, or project summary directly — no query syntax required.
    • Results are grouped visually by NIH institute or centre (ICO) and by activity code.
    • Each matched project links through to its full RePORTER project record, including funded amount and PI.
    • The report also breaks matched projects down by the study section that reviewed them.

    Matchmaker vs Advanced Search vs ART

    NIH RePORTER offers three distinct discovery routes, and institutional grant offices routinely default to only one of them. Each serves a different question.

    Tool Input Best for Owner
    NIH RePORTER Advanced Search Boolean/field queries (PI name, institution, keyword, fiscal year, activity code) Locating a known project, PI, or institution’s funding history NIH Office of Extramural Research
    NIH Matchmaker Free text (abstract, aims page, summary) Finding comparably-funded peers and likely study sections for a new proposal NIH Office of Extramural Research
    Assisted Referral Tool (ART) Free text (similar to Matchmaker) Getting a suggested study-section assignment directly from the reviewing body NIH Center for Scientific Review (CSR)

    Matchmaker and ART both use text-similarity matching and often surface overlapping study sections, but ART sits with CSR — the body that actually makes final review assignments — while Matchmaker is a general discovery layer inside RePORTER. Using both, rather than either alone, is the more defensible approach for a formal study-section request in a cover letter.

    Reading a Matchmaker report: activity codes and study sections

    A Matchmaker report is only useful if the reader can interpret two recurring elements: activity codes and study sections. Activity codes are NIH’s two- or three-character classification of grant mechanism, and they appear on every matched project.

    • R01 — the standard NIH research project grant, typically 3-5 years.
    • R21 — exploratory/developmental research, shorter and smaller than an R01.
    • R03 — small grant for limited-scope, short-duration projects.
    • K99/R00 — the Pathway to Independence award for early-career transition.
    • U01 — cooperative agreement with substantial NIH programmatic involvement.
    • P01 — multi-project program project grant.

    Study sections are the peer-review panels convened by CSR to evaluate applications by scientific discipline. A Matchmaker report shows which study sections reviewed the matched, already-funded projects — direct evidence of where NIH has previously sent similar science for review. That evidence is more current and more granular than the study-section descriptions published on CSR’s own roster pages, because it reflects actual assignment outcomes rather than a panel’s stated scope.

    Common questions

    How do I find the right NIH study section using Matchmaker?

    Paste your specific aims or abstract into Matchmaker and review the study-section breakdown of your top-matched projects. The study sections appearing most frequently among close matches are the strongest evidence-based candidates to request in your cover letter, though CSR makes the final assignment.

    Use NIH RePORTER’s Advanced Search, not Matchmaker, for PI-name lookups. Advanced Search offers a dedicated PI/co-PI field alongside institution, fiscal year, and activity-code filters, returning an exact list of a named investigator’s funded NIH awards.

    Why does NIH Matchmaker return no results or seem broken?

    Matchmaker requires JavaScript enabled and a modern browser session; RePORTER displays a “please enable it to continue” message otherwise. Empty results usually mean the pasted text is too short or too generic — a full abstract or aims paragraph performs far better than a single sentence.

    What is the difference between NIH Matchmaker and NIH RePORTER Advanced Search?

    Advanced Search matches exact fields you specify (name, keyword, code); Matchmaker matches the meaning of a pasted text block against funded abstracts. Use Advanced Search when you know what you’re looking for, and Matchmaker when you need to discover unknown peers or likely reviewers.

    What this means for grant offices

    Most pre-award workflows at institutional research offices still rely on Advanced Search and word-of-mouth knowledge of “who funds this” — Matchmaker replaces guesswork with a documented, repeatable evidence trail that can sit in a proposal’s internal review file. Running a Matchmaker check before a PI submits is a five-minute addition to any pre-submission checklist, and it produces two concrete deliverables: a short list of comparably-funded peers worth citing or contacting, and a defensible, evidence-based study-section recommendation for the cover letter.

    For research administrators managing portfolios across multiple PIs, running Matchmaker at the department or centre level — pasting a synthesis of several related aims pages — can also surface funding-landscape gaps: institutes or activity codes with strong topical overlap that a department has not yet approached. As NIH RePORTER continues to be positioned by NIH’s Office of Extramural Research as the primary public window into its funded portfolio, tools like Matchmaker are becoming a standard, not optional, part of pre-award due diligence — and grant offices that build it into their checklists now will have a documented edge over those still relying on Advanced Search alone.

  • NIH RePORTER Explained: How to Search, Track, and Analyse Federal Grant Awards

    NIH RePORTER (Research Portfolio Online Reporting Tools Expenditures and Results) is the free public database and API through which the U.S. National Institutes of Health discloses its funded research portfolio. For research administrators running portfolio analysis, competitor intelligence, or funding prospecting, it is the single most important primary source for federal biomedical grant data — and one that is routinely underused because its filter logic and API are not self-explanatory.

    This guide is a practical walkthrough, not a policy explainer: how to search by principal investigator, how to build precise advanced-search queries, and how to pull structured award data programmatically via the API.

    What Is NIH RePORTER?

    NIH RePORTER (reporter.nih.gov) replaced the legacy RePORT system as NIH’s primary award-transparency tool. It indexes project records — abstracts, budgets, principal investigators, awarding institute, and public health relevance statements — alongside the publications, patents, and clinical trials those awards produced.

    The database is broader than its name suggests. Alongside NIH’s 27 Institutes and Centers, RePORTER also carries award data for several other Public Health Service funders, including the Centers for Disease Control and Prevention (CDC), the Agency for Healthcare Research and Quality (AHRQ), the Health Resources and Services Administration (HRSA), the Administration for Children and Families (ACF), and the Department of Veterans Affairs (VA). That makes it a de facto federal biomedical-funding index, not just an NIH tool.

    A companion service, ExPORTER, provides scheduled bulk downloads (CSV and flat-file formats) of the same underlying data for users who need to build local datasets rather than query interactively.

    RePORTER offers three distinct entry points, and choosing the right one saves significant time.

    Tool Best for Key inputs
    Quick Search Fast lookups when you already know a name, term, or project number Free text, PI name, project number, fiscal year
    Advanced Search Structured portfolio queries with multiple constraints Boolean text fields, activity code, IC, mechanism, org, geography
    Matchmaker Finding comparable funded projects from an abstract or specific aims Pasted abstract text; returns similar projects, study sections, program officials

    Advanced Search filters worth knowing

    The Advanced Search form supports Boolean operators (AND, OR, NOT) across several filter groups. The ones administrators use most often for portfolio and competitor analysis are:

    • Fiscal Year — single year or a range, for trend analysis across award cycles
    • Agency / Institute or Center (IC) — narrows to a specific NIH IC (e.g. NCI, NIAID) or non-NIH PHS agency
    • Activity Code — the grant mechanism (R01, U01, K award series, SBIR/STTR, etc.)
    • Organisation — recipient institution, useful for benchmarking a peer institution’s award volume
    • Project Terms — keyword search across abstracts and specific aims
    • Congressional District / Geography — for regional funding analysis

    Search results can be filtered further on the results page without re-running the query, and exported directly to CSV or Excel — the fastest route to a working dataset for a spreadsheet-based portfolio review.

    Using the NIH RePORTER API for Programmatic Analysis

    For recurring or large-scale queries — competitor tracking, institutional benchmarking, funding-landscape dashboards — the web interface does not scale. The NIH RePORTER API (api.reporter.nih.gov) is a RESTful JSON service built for exactly this use case.

    The API accepts POST requests with a JSON criteria object and mirrors the Advanced Search filter logic (fiscal year, IC, activity code, PI name, organisation, project terms) across four core endpoints: project search, publications, patents, and clinical studies. Requests do not require an API key, which lowers the barrier for institutional research-office teams building lightweight internal tools without a procurement cycle. Python and R wrapper libraries maintained by the open-source community simplify pagination and bulk pulls for analysts who prefer not to hand-build JSON payloads.

    A typical portfolio-analysis workflow combines the API with ExPORTER bulk files: use the API for targeted, current-cycle queries (this year’s awards to a named PI or institute) and ExPORTER for historical trend datasets spanning multiple fiscal years.

    Common Questions About NIH RePORTER

    Are NIH grant scores public?

    No. Peer-review summary statements and percentile scores are released only to the applicant via eRA Commons and are treated as confidential under the NIH Grants Policy Statement. NIH RePORTER instead publishes the funded outcome — abstract, budget, project period, and awarding institute — once an award is made.

    How do I find who funded a study?

    Search RePORTER by the project number quoted in a paper’s acknowledgements, or match the PI name and publication title under the “Linked Publications” data. The resulting project record shows the awarding NIH Institute or Center, funding mechanism, and total award amount.

    Who gets the most NIH funding?

    Large academic medical centres and research-intensive universities consistently rank highest by total award value. RePORTER’s organisation-level search and the “Awards by Location” tool let administrators rank recipient institutions for any fiscal year rather than relying on third-party league tables.

    Why This Matters for Research Administrators

    For portfolio analysis, RePORTER turns what used to be manual FOIA-style requests into a self-service query. Research development offices can benchmark a department’s award mix against peer institutions by activity code, or track a specific IC’s funding priorities over a rolling five-year window using the Fiscal Year filter.

    For competitor intelligence, the Matchmaker tool is the most underused feature: pasting a draft specific-aims page returns not just similar funded projects but the study sections and program officials most likely to review a related application — genuinely actionable pre-submission intelligence that most institutions still source informally through personal networks.

    For funding prospecting, combining Advanced Search filters (IC + activity code + project terms) with a saved, re-runnable API query lets a research office flag newly funded awards in an adjacent field within days of public posting, rather than waiting for a funder’s own announcement cycle.

    Looking Ahead

    NIH RePORTER’s underlying data architecture — structured award records, linked outputs, and an open API — is increasingly the template other funders are measured against. As UK and EU funders expand open-data commitments under initiatives aligned with cOAlition S and UKRI’s own transparency agenda, research offices that already have RePORTER-based workflows are better placed to extend the same portfolio-analysis discipline to non-US funders as comparable APIs mature.

    The practical takeaway for research administration teams is to treat RePORTER not as an occasional lookup tool but as a standing data source: a saved Advanced Search for competitor tracking, an API pull scheduled alongside grant-cycle reporting, and Matchmaker built into pre-submission workflows.