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.
skcm_broad
Skin Cutaneous Melanoma (Broad, Cell 2012)
6 awards paid to create it · 0 awards funded work that used it
1. Awards that paid to create this data (6)
- Cancer Center Support Grant · PETER W PISTERS, Fernando J Benavides · FY2025
- The University of Texas M. D. Anderson Cancer Center SPORE in Melanoma · ELIZABETH A GRIMM, PATRICK HWU · FY2004–2014
- The genetic Basis of Melanoma Metastasis · LYNDA CHIN · FY2002–2011
- High-throughput oncogene mutation detection in human cancer · Levi A. Garraway · FY2010–2011
- Physician Scientist Training in Cancer Research · Jennifer R Brown, James A. DeCaprio · FY1985–2026
- The Cancer Genome Atlas Data Analysis Center · LYNDA CHIN, GAD A GETZ · FY2009–2016
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 |
|---|---|---|
| P30CA016672 P30FY2025$14.0M | Cancer Center Support Grant | API |
| P50CA093459 P50FY2004–2014$46.5M | The University of Texas M. D. Anderson Cancer Center SPORE in Melanoma | API |
| R01CA093947 R01FY2002–2011$3.6M | The genetic Basis of Melanoma Metastasis | API |
| R33CA126674 R33FY2010–2011$608k | High-throughput oncogene mutation detection in human cancer | API |
| T32CA009172 T32FY1985–2026$23.7M | Physician Scientist Training in Cancer Research | API |
| U24CA143845 U24FY2009–2016$16.0M | The Cancer Genome Atlas Data Analysis Center | 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.