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-LAML

Acute Myeloid Leukemia

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

Awards that paid to create this data (6 of 16)

Credited on the dataset's own marker paper

The dataset

Articles that used it

The accession appears in their methods section

Awards those articles were funded by

NCI money spent on data it did not pay to generate

The best connected are shown.

TCGA-LAMLAcute Myeloid LeukemiaGDC

No article can be traced to this dataset, so nothing it enabled is visible here.

None of the traced articles reports an NCI award.

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

10 of the articles using this dataset were retrieved and checked against RePORTER, and none of them reports an NCI award.

Awards that paid to create this data

Credited on the dataset's own marker paper.

Award	Project	Evidence
P30CA016672 P30FY2019–2025$163.9M	Cancer Center Support Grant PETER W PISTERS, FUNDA MERIC-BERNSTAM · UNIVERSITY OF TX MD ANDERSON CAN CTR	API
P30CA091842 P30FY2019–2026$96.0M	Clinical Protocol and Data Management Amanda Fishback Cashen, Adetunji T Toriola · WASHINGTON UNIVERSITY	API
R01CA083962 R01FY2000–2014$6.0M	THE BIOLOGY OF PROMYELOCYTIC LEUKEMIA IN A MOUSE MODEL Timothy J. Ley · WASHINGTON UNIVERSITY	API
R01CA162086 R01FY2011–2015$1.8M	DNMT3A MUTATIONS IN ACUTE MYELOID LEUKEMIA Timothy J. Ley · WASHINGTON UNIVERSITY	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

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.