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.
prad_msk_mdanderson_2023
Prostate Cancer MDA PCa PDX (MD Anderson, Clin Cancer Res 2024)
5 awards paid to create it · 0 awards funded work that used it
1. Awards that paid to create this data (5)
- Antitumor Assessment · Elisa de Stanchina, FRANCESCA M GANY · FY2025–2026
- Cancer Center Support Grant · PETER W PISTERS, Fernando J Benavides · FY2025
- SPORE in Prostate Cancer · Yu Chen, MICHAEL J MORRIS · FY2025–2026
- Administrative Supplement to MD Anderson Cancer Center Prostate Cancer SPORE · Christopher J. Logothetis, Timothy Charles Thompson · FY2009–2022
- Patient-Derived Models of Prostate Cancer for Personalized Medicine · Yu Chen, PHILLIP ANDREW FUTREAL · FY2019–2023
2. The dataset
3. Articles that used it
4. Awards those articles were funded by
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 | API |
| P30CA016672 P30FY2025$14.0M | Cancer Center Support Grant | API |
| P50CA092629 P50FY2025–2026$5.2M | SPORE in Prostate Cancer | API |
| P50CA140388 P50FY2009–2022$47.1M | Administrative Supplement to MD Anderson Cancer Center Prostate Cancer SPORE | API |
| U01CA224044 U01FY2019–2023$5.1M | Patient-Derived Models of Prostate Cancer for Personalized Medicine | 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.