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

brain_cptac_2020

Pediatric Brain Cancer (CPTAC/CHOP, Cell 2020)

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

1. Awards that paid to create this data (6 of 10)

The best connected are shown.

2. The dataset

3. Articles that used it

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

4. Awards those articles were funded by

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

  • This dataset has no accession that articles quote, so no reuse can be traced and nothing it enabled is visible.

Awards that paid to create this data

Credited on the dataset's own marker paper.

AwardProjectEvidence
P30CA008748
P30FY2025–2026$48.4M
Antitumor Assessment
Elisa de Stanchina, FRANCESCA M GANY · SLOAN-KETTERING INST CAN RESEARCH
API
R50CA211499
R50FY2016–2026$2.8M
A proteomics research specialist in developing targeted mass spectrometry methods for quantifying proteins important in cancer
Jeff Whiteaker · FRED HUTCHINSON CANCER CENTER
API
U01CA214114
U01FY2017–2021$8.4M
Proteogenomic studies aimed at understanding ovarian tumor responses to agents targeting the DNA damage response and translating this knowledge into clinical benefit
Michael Birrer, AMANDA G PAULOVICH · FRED HUTCHINSON CANCER CENTER
API
U24CA210954
U24FY2016–2020$4.9M
iPGDAC, An Integrative Proteogenomic Data Analysis Center for CPTAC
Bing Zhang · BAYLOR COLLEGE OF MEDICINE
API
U24CA210955
U24FY2016–2020$5.3M
PNNL Proteome Characterization Center
Tao Liu, RICHARD D SMITH · BATTELLE PACIFIC NORTHWEST LABORATORIES
API
U24CA210967
U24FY2016–2020$4.1M
University of Michigan Proteogenomics Data Analysis Center
ARUL M CHINNAIYAN, Saravana M Dhanasekaran · UNIVERSITY OF MICHIGAN AT ANN ARBOR
API
U24CA210972
U24FY2016–2020$3.3M
Proteogenomic Data Analysis for Cancer Systems Biology and Clinical Translation
Li Ding, David Fenyo · NEW YORK UNIVERSITY SCHOOL OF MEDICINE
API
U24CA210979
U24FY2016–2020$4.4M
Integrated high throughput proteogenomic data analysis center for CPTAC
Chet Birger, GAD A GETZ · BROAD INSTITUTE, INC.
API
U24CA210985
U24FY2016–2020$5.3M
The Comprehensive Proteome Characterization Center at Johns Hopkins: High Precision Discovery and Confirmation of Genoproteomic Targets
DANIEL Wanyui CHAN, ZHEN ZHANG · JOHNS HOPKINS UNIVERSITY
API
U24CA210993
U24FY2016–2020$4.6M
Systems Biology based Proteogenomic Translator for Cancer Marker Discovery towards Precision Medicine
ERIC E SCHADT, Pei Wang · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
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.