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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-CESC

Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma

18 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

  • 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.

AwardProjectEvidence
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
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
U24CA199461
U24FY2015–2019$2.7M
Next-Generation Clustered Heat Maps for fluent, interactive exploration of omic data
Bradley McIntosh Broom, John N Weinstein · UNIVERSITY OF TX MD ANDERSON CAN CTR
API
U24CA210949
U24FY2016–2020$1.9M
Batch effects in molecular profiling data on cancers: detection, quantitation, interpretation, and correction
Rehan Akbani, GORDON B. MILLS · UNIVERSITY OF TX MD ANDERSON CAN CTR
API
U24CA210950
U24FY2016–2020$1.8M
Integrated analysis of protein expression data from the Reverse Phase Protein Array (RPPA) platform
Rehan Akbani, GORDON B. MILLS · UNIVERSITY OF TX MD ANDERSON CAN CTR
API
U24CA210974
U24FY2016–2020$4.2M
Visualization hub for genomics data exploration and translational discovery
Eric Collisson, DAVID H HAUSSLER · UNIVERSITY OF CALIFORNIA SANTA CRUZ
API
U24CA211006
U24FY2016–2020$1.8M
Deep Discovery and Clinical Interpretation of Germline and Somatic Cancer Drivers
Li Ding, Ramaswamy Govindan · WASHINGTON UNIVERSITY
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.