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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

prad_su2c_2019

Metastatic Prostate Adenocarcinoma (SU2C/PCF Dream Team, PNAS 2019)

9 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

  • 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
P50CA090381
P50FY2002–2017$56.3M
Tissue and Pathology Core
Massimo Loda, PHILIP W KANTOFF · DANA-FARBER CANCER INST
API
P50CA092629
P50FY2025–2026$5.2M
SPORE in Prostate Cancer
Yu Chen, MICHAEL J MORRIS · SLOAN-KETTERING INST CAN RESEARCH
API
P50CA097186
P50FY2025–2026$5.1M
Developmental Research Program
RUTH D ETZIONI, Martin Edwin Gleave · FRED HUTCHINSON CANCER CENTER
API
P50CA186786
P50FY2023–2026$10.6M
Michigan Prostate SPORE 2025-2030
ARUL M CHINNAIYAN, Ganesh S Palapattu · UNIVERSITY OF MICHIGAN AT ANN ARBOR
API
P50CA211024
P50FY2017–2021$21.8M
Project 1: Non-Invasive Clinical Assay for Early Detection of Treatment Resistance in Patients with Metastatic Prostate Cancer
Himisha Beltran, David S. Rickman · WEILL MEDICAL COLL OF CORNELL UNIV
API
R01CA125612
R01FY2007–2017$3.4M
Towards Understanding Prostate Cancer Heterogeneity
MARK A. RUBIN · UNIVERSITAT BERN
API
R01CA155169
R01FY2012–2022$3.8M
Understanding Resistance to Next Generation Antiandrogens
CHARLES L. SAWYERS · SLOAN-KETTERING INST CAN RESEARCH
API
U54CA224079
U54FY2017–2021$13.6M
Project 2: Reversing resistance caused by lineage plasticity through epigenetic therapy
Yu Chen, CHARLES L. SAWYERS · SLOAN-KETTERING INST CAN RESEARCH
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.