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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

EXCEPTIONAL_RESPONDERS-ER

Exceptional Responders

0 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

Why one side of this chain is empty

  • No repository or reviewer names this dataset's marker paper, so no award can be credited with creating it.

Awards that funded work using this data

1 of 4 traced articles report an NCI award.

AwardProjectArticles it is credited onEvidence
U24CA143843
U24FY2009–2013$9.5M
The BCM Tumor Genome Characterization Center
RICHARD A GIBBS, David Andrew Wheeler · BAYLOR COLLEGE OF MEDICINE
API
U24CA210969
U24FY2016–2020$2.5M
Integrative Cancer Epigenomic Data Analysis Center (ICE-DAC)
PETER W LAIRD, Benjamin P Berman · VAN ANDEL RESEARCH INSTITUTE
API
U24CA210988
U24FY2016–2020$2.1M
RNA sequencing analysis of Cancer
KATHERINE A. HOADLEY, David N Hayes · UNIV OF NORTH CAROLINA CHAPEL HILL
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
U24CA143843
U24FY2009–2013$9.5M
The BCM Tumor Genome Characterization Center
RICHARD A GIBBS, David Andrew Wheeler · BAYLOR COLLEGE OF MEDICINE
API
U24CA210969
U24FY2016–2020$2.5M
Integrative Cancer Epigenomic Data Analysis Center (ICE-DAC)
PETER W LAIRD, Benjamin P Berman · VAN ANDEL RESEARCH INSTITUTE
API
U24CA210988
U24FY2016–2020$2.1M
RNA sequencing analysis of Cancer
KATHERINE A. HOADLEY, David N Hayes · UNIV OF NORTH CAROLINA CHAPEL HILL
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.