Skip to content

Funding in, findings out

For any dataset: the NCI award that paid to create it, and the awards that got a published finding out of it afterwards.

332 of 602 datasets have at least one award resolved. 31 have awards on both sides.

Datasets with awards on both sides - awards that paid to create it awards that funded work using it

brca_aurora_2023

Metastatic Breast Cancer (AURORA US Network, Nat Cancer 2023)

6 awards paid to create it · 0 awards funded work that used it

Direct evidence: the award is on the paper, or the accession is in the articleWeaker: infrastructure support, or use declared but not shownHover any card to follow its chain

Why one side of this chain is empty

  • This dataset has no accession that articles quote, so no reuse can be traced and nothing it enabled is visible.

Awards that paid to create this data

Credited on the dataset's own marker paper.

AwardProjectEvidence
K01CA245231
K01FY2020–2024$600k
Activation of transposable elements as an endogenous source of neoepitopes and mediators of tumor immunogenicity
Aguirre A de Cubas · MEDICAL UNIVERSITY OF SOUTH CAROLINA
API
P30CA008748
P30FY2025–2026$48.4M
Antitumor Assessment
Elisa de Stanchina, FRANCESCA M GANY · SLOAN-KETTERING INST CAN RESEARCH
API
P30CA016058
P30FY2025–2026$20.8M
Shared Resource 10: Pharmacoanalytical Shared Resource (PhASR)
Mitch A Phelps, David M Gosky · OHIO STATE UNIVERSITY
API
P30CA016086
P30FY2025–2026$16.9M
Admin-Core
David Darr, Chad V Pecot · UNIV OF NORTH CAROLINA CHAPEL HILL
API
P50CA058223
P50FY2025–2026$5.7M
SPORE in Breast Cancer
LISA A CAREY, Gaorav P. Gupta · UNIV OF NORTH CAROLINA CHAPEL HILL
API
P50CA098131
P50FY2003–2024$83.6M
SPORE in Breast Cancer
JENNIFER A PIETENPOL, Ben Ho Park · VANDERBILT UNIVERSITY MEDICAL CENTER
API

Where the links come from

NIH RePORTER maps a PMID to the awards that reported it. On a dataset’s marker paper that gives the awards which created it; on an article that used the data, the awards which funded that use.

The two sides are not measured alike. Generation is complete: a dataset has one marker paper and every award on it is resolved. Reuse is a sample - the articles using a dataset can number in the thousands, and only the few dozen strongest are retrieved and looked up. Every award shown here funded reuse; there are more that are not shown.

How far it reaches

283 datasets have an award credited with creating them, 80 with using them, and 31 both.

What is missing

No citable accession means no traceable articles; no authoritative marker paper means no attributable generation award. Absence is a gap in the record. Methods.

Start from an award instead, and see every dataset it touches.