Who Paid for That Study? A Researcher's Guide to Tracing the Money Behind Science

When a headline announces that a new study has found a particular drug safe, a food additive harmless, or a fossil fuel's climate impact overstated, the first question any rigorous analyst should ask is not "what did they find?" — it is "who funded the work?"

This is not cynicism. It is methodology. A substantial body of peer-reviewed literature has documented that industry-funded research produces results favorable to the funder at rates that cannot be explained by chance alone. The mechanism is not necessarily fraud; it operates through subtler channels — study design choices, endpoint selection, publication timing, and the simple fact that unfavorable findings are far less likely to reach a journal's pages.

The challenge for independent researchers, journalists, and policy analysts is that funding disclosures — when they exist at all — are often incomplete, inconsistently formatted, and scattered across systems that were never designed to be cross-referenced. At CrackSearchEngine, mapping fragmented data into coherent analytical pictures is precisely what we do. This guide translates that approach into a replicable methodology for tracing research funding.

The Landscape of Research Funding in the United States

American scientific research is funded through three primary channels: federal grants (administered primarily through NIH, NSF, DOE, and DARPA), private philanthropy (foundations, endowments, and donor-advised funds), and direct industry investment (corporate research agreements, clinical trial sponsorships, and consulting arrangements with academic investigators).

Each channel has different disclosure obligations, different data infrastructure, and different levels of transparency. Federal funding is the most traceable. Industry funding is the least. Philanthropic funding occupies a complicated middle ground that depends heavily on the tax status and reporting requirements of the funding entity.

Understanding this structure is the prerequisite for knowing which tools to deploy.

NIH RePORTER: The Starting Point for Federal Grant Analysis

The NIH Research Portfolio Online Reporting Tools (RePORTER) platform at reporter.nih.gov is the most comprehensive publicly accessible database of federally funded biomedical research in the United States. It contains records for every NIH-funded project going back to 1985, including project abstracts, funding amounts, principal investigator names, institutional affiliations, and — crucially — publication links through the associated iCite bibliometric tool.

For investigative purposes, RePORTER's advanced search functionality is where the real analytical work happens. Researchers can query by:

• Principal Investigator name — to build a complete funding history for a specific researcher
• Organization name — to map all federally funded research at a particular university or corporate entity
• Terms — using boolean operators to identify all funded projects related to a specific drug compound, technology, or research area
• Activity codes — to distinguish between research grants (R01), training awards, contracts, and cooperative agreements, which have different accountability structures

One underappreciated feature is the ability to export full project records in CSV format, enabling bulk analysis across hundreds or thousands of grants. Analysts studying pharmaceutical research funding, for example, can pull all NIH-funded projects mentioning a specific drug class and then cross-reference principal investigators against industry disclosure registries.

NSF Award Search and the DOE's PAGES System

For research outside the biomedical domain — including AI, materials science, climate modeling, and engineering — the NSF Award Search (nsf.gov/awardsearch) provides equivalent functionality to NIH RePORTER. Every NSF grant since 1959 is searchable, with project summaries, award amounts, and investigator data.

The Department of Energy's Public Access Gateway for Energy and Science (PAGES) indexes DOE-funded publications and links them to their originating grant records. For climate and energy research — areas where industry funding conflicts are particularly consequential — PAGES provides a critical cross-reference point against private funding sources.

Tracing Industry Money: The Harder Problem

Federal funding is relatively transparent because federal agencies are required to maintain public records. Industry funding is a different matter entirely.

The primary disclosure mechanism for pharmaceutical and device industry payments to researchers is the Open Payments database, maintained by the Centers for Medicare and Medicaid Services (CMS) under the Physician Payments Sunshine Act. Open Payments records payments made by pharmaceutical manufacturers and medical device companies to physicians and teaching hospitals — including research funding, consulting fees, speaking honoraria, and ownership interests.

For investigative work, the methodology is as follows:

1. Identify the principal investigator(s) of the study in question from the published paper's author list.
2. Search each investigator by name in Open Payments (openpaymentsdata.cms.gov).
3. Cross-reference the payment dates and categories against the timeline of the study's conduct and publication.
4. Compare declared conflicts of interest in the paper's disclosure section against the Open Payments record.

Discrepancies between what investigators disclosed in published papers and what Open Payments records show have been documented in peer-reviewed literature. A 2017 study published in the BMJ found that industry payments to physician-authors of clinical guidelines were frequently undisclosed in the guidelines themselves. The data to identify these gaps is publicly available; the analytical work simply requires knowing where to look.

University Foundation Records and the Opacity of Private Partnerships

Corporate research partnerships with universities are frequently structured through university-affiliated foundations — legally separate entities that are not subject to the same public records laws as the universities themselves, even at public institutions. This creates a significant transparency gap.

However, these foundations are generally required to file IRS Form 990 as tax-exempt organizations, and 990 filings are publicly accessible through ProPublica's Nonprofit Explorer and the IRS Tax Exempt Organization Search tool. Schedule I of the 990 discloses grants made to other organizations, while Schedule B (though often redacted) pertains to major contributors.

For researchers investigating, say, whether a specific technology company has funded AI ethics research at a particular university through a foundation intermediary, the 990 trail is often the most productive starting point when direct disclosure documents are unavailable.

FOIA Requests: The Tool of Last Resort (and First Resort for Serious Investigators)

When database searches reach their limits, the Freedom of Information Act (FOIA) provides a legal mechanism to compel disclosure from federal agencies. For research funding investigations, productive FOIA targets include:

• NIH for correspondence between agency program officers and grant recipients, including industry-affiliated investigators
• FDA for internal review documents related to drug approval studies, including funding source verification
• NSF for reviewer comments and conflict-of-interest declarations on grant applications

FOIA requests require specificity to be productive. The more precisely a request defines the records sought — by date range, subject matter, and specific agency office — the faster and more complete the response tends to be. The MuckRock platform (muckrock.com) provides both a submission infrastructure and a public archive of previously fulfilled FOIA requests, which can save significant time when an investigator's question has already been partially answered by someone else's prior request.

What the Money Maps Reveal

When these tools are used in combination — RePORTER for federal grants, Open Payments for industry transfers, 990 filings for foundation intermediaries, and FOIA for agency records — the resulting picture is frequently more complex than any single disclosure document would suggest.

In pharmaceutical research, analysts have documented patterns in which the same investigators appear repeatedly as authors of industry-sponsored trials, as recipients of consulting payments from the same companies, and as members of FDA advisory panels evaluating those companies' products — with each relationship technically disclosed in isolation but rarely examined as a network.

In climate science, energy industry funding has been traced through foundation intermediaries to academic researchers who subsequently published findings minimizing certain climate risks — a pattern that became visible only when 990 records, university press releases, and published author disclosures were examined together.

In AI research, major technology companies have established formal research partnerships with universities that include provisions governing publication timing and, in some documented cases, prior review of manuscripts. The existence of these agreements is often disclosed in general terms in published papers but rarely in sufficient detail for readers to assess their implications.

Building a Repeatable Methodology

The goal of this kind of analysis is not to presuppose that funded research is corrupt. It is to ensure that readers, policymakers, and fellow researchers have the contextual information necessary to evaluate findings appropriately. Funding source is a variable. Like any other variable, it should be visible.

The databases and tools described here — NIH RePORTER, NSF Award Search, Open Payments, ProPublica Nonprofit Explorer, and the FOIA process — are all publicly accessible, legally available, and collectively sufficient to answer the funding question for the majority of major published studies in the United States.

The information is there. The methodology is replicable. At CrackSearchEngine, we believe that knowing how to ask the right question of the right system is the foundational skill of modern research. Follow the money, and the data will follow.