Retraction Watch aggregated retractions into a searchable database

When a scientific paper was retracted, the correction lived only inside the individual journal that published it — thousands of separate journals, each handling retractions differently, most with no obligation to state why a paper was pulled or to make that information easy to find later. A researcher whose paper was quietly retracted for misconduct in one journal faced essentially no aggregated consequence, because no institution — not the researcher's employer, not other journals, not funding bodies — had a single place to check a track record.

In 2010, health journalists Ivan Oransky and Adam Marcus started Retraction Watch, initially a blog reporting on individual retractions, and later, with MacArthur Foundation funding starting in 2015, built it into a single searchable database aggregating retraction records across journals and tagging each one with its actual cause — fraud, honest error, image manipulation, plagiarism — rather than leaving the vague, often euphemistic language many journals used to describe why a paper was pulled.

Aggregated journals' already-public retractions into one searchable database, making scattered disclosures checkable and creating accountability without new rules.

Scattered records were impractical to search, so they were effectively invisible.

Aggregation made patterns across a researcher's history visible in seconds.

Visible patterns pressured institutions to act, increasing retraction volume.

When failures are disclosed but scattered, aggregating them into one searchable index can create accountability without new rules.

The Retraction Watch Database now contains more than 35,000 tracked retractions with roughly 3,500 added annually, the site draws approximately 150,000 monthly readers, and documented retraction volume has risen sharply since the project's founding — from an estimated 45 retractions a month industry-wide in 2010 to nearly 300 a month by 2022 — a trend Oransky and Marcus attribute partly to increased scrutiny the aggregated, public record itself created.