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

paad_cptac_2021

Pancreatic Ductal Adenocarcinoma (CPTAC, Cell 2021)

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

Awards that paid to create this data (6 of 13)

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.

paad_cptac_2021Pancreatic Ductal Adenocarcinoma (CPTAC, Cell 2021)cBioPortal

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

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.

Award	Project	Evidence
P30CA008748 P30FY2025–2026$48.4M	Antitumor Assessment Elisa de Stanchina, FRANCESCA M GANY · SLOAN-KETTERING INST CAN RESEARCH	API
R50CA243627 R50FY2019–2026$975k	Comprehensive Analysis and Multi-Omics Data Integration for Cancer-Related Studies Ludmila Danilova · JOHNS HOPKINS UNIVERSITY	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
U01CA214116 U01FY2017–2021$6.8M	Proteogenomic Translational Research Center for Clinical Proteomic BRIAN J DRUKER, Karin D Rodland · BATTELLE PACIFIC NORTHWEST LABORATORIES	API
U01CA214125 U01FY2017–2021$7.0M	MICROSCALED PROTEOGENOMICS FOR CANCER CLINICAL TRIALS Meenakshi Anurag, STEVEN A CARR · BAYLOR COLLEGE OF MEDICINE	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
U24CA210986 U24FY2016–2020$6.4M	Center of Excellence for High Throughput Proteogenomic Characterization STEVEN A CARR, MICHAEL A GILLETTE · BROAD INSTITUTE, INC.	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.