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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

TCGA-KIRC

Kidney Renal Clear Cell Carcinoma

15 awards paid to create it · 3 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

Awards that paid to create this data

Credited on the dataset's own marker paper.

AwardProjectEvidence
R01CA068490
R01FY1996–2015$5.7M
The von Hippel-Lindau Tumor Suppressor Protein:Roles in Cancer and Oxygen Sensing
WILLIAM G. KAELIN · DANA-FARBER CANCER INST
API
T32CA071341
T32FY1996–2026$5.4M
Cancer Cell Biology Training Program
CHANNING J. DER, Yuliya Pylayeva-Gupta · UNIV OF NORTH CAROLINA CHAPEL HILL
API
T32CA082088
T32FY1999–2025$6.9M
T32 Urologic Oncology Research Training Grant
Brett Stewart Carver, PETER T SCARDINO · SLOAN-KETTERING INST CAN RESEARCH
API
U24CA143799
U24FY2009–2016$4.9M
TCGA Data Analysis Center at Berkeley
PAUL T. SPELLMAN, Terence Paul Speed · OREGON HEALTH & SCIENCE UNIVERSITY
API
U24CA143835
U24FY2009–2016$10.6M
Center for Systems Analysis of the Cancer Regulome
ILYA SHMULEVICH · INSTITUTE FOR SYSTEMS BIOLOGY
API
U24CA143840
U24FY2009–2016$11.5M
MSKCC Center for Translational Cancer Genomic Analysis
Marc Ladanyi, CHRIS SANDER · SLOAN-KETTERING INST CAN RESEARCH
API
U24CA143843
U24FY2009–2013$9.5M
The BCM Tumor Genome Characterization Center
RICHARD A GIBBS, David Andrew Wheeler · BAYLOR COLLEGE OF MEDICINE
API
U24CA143845
U24FY2009–2016$16.0M
The Cancer Genome Atlas Data Analysis Center
LYNDA CHIN, GAD A GETZ · BROAD INSTITUTE, INC.
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
U24CA143883
U24FY2009–2016$10.6M
Integrative Pipeline for Analysis & Translational Application of TCGA Data (GDAC)
Rehan Akbani, GORDON B. MILLS · UNIVERSITY OF TX MD ANDERSON CAN CTR
API
U24CA144025
U24FY2009–2016$14.0M
Harvard Genome Characterization Center
Raju S. Kucherlapati · BRIGHAM AND WOMEN'S HOSPITAL
API

Awards that funded work using this data

1 of 10 traced articles report an NCI award.

AwardProjectArticles it is credited onEvidence
P30CA008748
P30FY1985–2026$717.9M
Antitumor Assessment
Elisa de Stanchina, FRANCESCA M GANY · SLOAN-KETTERING INST CAN RESEARCH
API
R50CA265182
R50FY2022–2026$1.7M
Molecular origins and evolution to treatment resistance in genitourinary cancers
Jihye Park · DANA-FARBER CANCER INST
API
T32CA009172
T32FY1985–2026$23.7M
Physician Scientist Training in Cancer Research
Jennifer R Brown, James A. DeCaprio · DANA-FARBER CANCER INST
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.

AwardProjectEvidence
P30CA008748
P30FY1985–2026$717.9M
Antitumor Assessment
Elisa de Stanchina, FRANCESCA M GANY · SLOAN-KETTERING INST CAN RESEARCH
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.