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.
lung_pdx_msk_2021
Thoracic Cancer (MSK, Nat Commun 2021)
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
- Determinants of acquired resistance in small cell lung cancer · Charles M. Rudin · FY2016–2020
- Targeting replication stress signaling to overcome immune evasion in small cell… · Triparna Sen · FY2021–2025
- Novel therapeutic development for small cell lung cancer · Charles M. Rudin · FY2021–2026
- Coordinating center for the NCI small cell lung cancer research consortium · Lauren Averett Byers, JOHN D. MINNA · FY2017–2026
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 |
| R01CA197936 R01FY2016–2020$3.1M | Determinants of acquired resistance in small cell lung cancer | API |
| R01CA258784 R01FY2021–2025$2.4M | Targeting replication stress signaling to overcome immune evasion in small cell lung cancer | API |
| R35CA263816 R35FY2021–2026$6.3M | Novel therapeutic development for small cell lung cancer | API |
| U24CA213274 U24FY2017–2026$12.9M | Coordinating center for the NCI small cell lung cancer research consortium | 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.