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.

Pick a dataset

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

TCGA-THYM 17 → 22 ORGANOID-PANCREATIC 13 → 49 CPTAC-3 10 → 36 WCDT-MCRPC 9 → 43 TCGA-STAD 18 → 10 BEATAML1.0-COHORT 7 → 33

TCGA-KICH

Kidney Chromophobe

9 awards paid to create it · 3 awards funded work that used it

Awards that paid to create this data (6 of 9)

Credited on the dataset's own marker paper

The dataset

Articles that used it (2)

The accession appears in their methods section

Awards those articles were funded by (3)

NCI money spent on data it did not pay to generate

The best connected are shown.

TCGA-KICHKidney ChromophobeGDC

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

Awards that paid to create this data

Credited on the dataset's own marker paper.

Award	Project	Evidence
P50CA101942 P50FY2003–2026$83.6M	DF/HCC Kidney Cancer Project 2: Optimizing Anti-PD1 Based Therapy in High Risk and Metastatic RCC Arlene H. Sharpe, WILLIAM G. KAELIN · BETH ISRAEL DEACONESS MEDICAL CENTER	API
R01CA183793 R01FY2014–2018$1.7M	Statistical methods for genomic analysis of heterogeneous tumors Wenyi Wang · UNIVERSITY OF TX MD ANDERSON CAN CTR	API
U24CA143843 U24FY2009–2013$9.5M	The BCM Tumor Genome Characterization Center RICHARD A GIBBS, David Andrew Wheeler · BAYLOR COLLEGE OF MEDICINE	API
U24CA143848 U24FY2009–2016$20.8M	Gene Expression Patterns in Human Tumors Identified Using Transcript Sequencing David N Hayes, CHARLES M PEROU · UNIV OF NORTH CAROLINA CHAPEL HILL	API
U24CA143858 U24FY2009–2016$8.9M	UCSC-Buck Inst. Genome Data Analysis Center for TCGA Research Network (GDAC) Christopher Benz, DAVID H HAUSSLER · UNIVERSITY OF CALIFORNIA SANTA CRUZ	API
U24CA143866 U24FY2009–2015$10.9M	Cancer transcriptome characterization using massively parallel DNA sequencing Marco Antonio Marra · BRITISH COLUMBIA CANCER AGENCY	API
U24CA143867 U24FY2009–2016$17.0M	Genome Characterization Center (GCC) Stacey Gabriel, Matthew L. Meyerson · BROAD INSTITUTE, INC.	API
U24CA143882 U24FY2009–2016$13.3M	The USC-JHU Cancer Epigenome Characterization Center STEPHEN B. BAYLIN, Daniel Joseph Weisenberger · UNIVERSITY OF SOUTHERN CALIFORNIA	API
U24CA180951 U24FY2013–2017$2.9M	Cloud Based Resource for Data Hosting, Visualization and Analysis Using UCSC Canc DAVID H HAUSSLER · UNIVERSITY OF CALIFORNIA SANTA CRUZ	API

Awards that funded work using this data

2 of 10 traced articles report an NCI award.

Award	Project	Articles it is credited on	Evidence
P30CA016672 P30FY1985–2025$531.0M	Cancer Center Support Grant PETER W PISTERS, FUNDA MERIC-BERNSTAM · UNIVERSITY OF TX MD ANDERSON CAN CTR	Alternative splicing of GSDMB modulates killer lymphocyte-triggered pyroptosis. 2023	API
R01CA240955 R01FY2020–2024$2.5M	Gasdermin E and pyroptosis in cancer Judy Lieberman · BOSTON CHILDREN'S HOSPITAL	Alternative splicing of GSDMB modulates killer lymphocyte-triggered pyroptosis. 2023	API
P30CA008748 P30FY1985–2026$717.2M	Antitumor Assessment Elisa de Stanchina, FRANCESCA M GANY · SLOAN-KETTERING INST CAN RESEARCH	AI-Driven Robust Kidney and Renal Mass Segmentation and Classification on 3D CT Images. 2023	API

Awards that maintain or redistribute this data

Resource and center grants credited on articles that used the data. Kept out of the flow above because they pay for the pipes, not for a cohort or a finding.

Award	Project	Evidence
P30CA008748 P30FY1985–2026$717.2M	Antitumor Assessment Elisa de Stanchina, FRANCESCA M GANY · SLOAN-KETTERING INST CAN RESEARCH	API
P30CA016672 P30FY1985–2025$531.0M	Cancer Center Support Grant PETER W PISTERS, FUNDA MERIC-BERNSTAM · UNIVERSITY OF TX MD ANDERSON CAN CTR	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.