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.
all_stjude_2016
Acute Lymphoblastic Leukemia (St Jude, Nat Genet 2016)
17 awards paid to create it · 0 awards funded work that used it
1. Awards that paid to create this data (6 of 17)
- Antitumor Assessment · Elisa de Stanchina, FRANCESCA M GANY · FY2025–2026
- Shared Resource 10: Pharmacoanalytical Shared Resource (PhASR) · Mitch A Phelps, David M Gosky · FY2025–2026
- Cancer Biology (CBP) · Douglas R. Green, Elizabeth Fox · FY2025–2026
- Early Career Cancer Clinical Investigator Award (ECIA) · Yolanda Sanchez, Jennifer Gillette · FY2025
- Exploring a new therapeutic approach through targeting epigenetic enzymes in ALL · Panagiotis Ntziachristos · FY2015–2017
- MOLECULAR SIGNATURES FOR OUTCOME PREDICTION AND THERAPEUTIC TARGETING IN ALL · STEPHEN Patrick HUNGER, CHERYL LYNN WILLMAN · FY2011–2015
The best connected are shown.
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 |
| P30CA016058 P30FY2025–2026$20.8M | Shared Resource 10: Pharmacoanalytical Shared Resource (PhASR) | API |
| P30CA021765 P30FY2025–2026$13.7M | Cancer Biology (CBP) | API |
| P30CA118100 P30FY2025$757k | Early Career Cancer Clinical Investigator Award (ECIA) | API |
| R00CA188293 R00FY2015–2017$747k | Exploring a new therapeutic approach through targeting epigenetic enzymes in ALL | API |
| U01CA157937 U01FY2011–2015$2.9M | MOLECULAR SIGNATURES FOR OUTCOME PREDICTION AND THERAPEUTIC TARGETING IN ALL | API |
| U10CA098413 U10FY2008–2013$37.0M | Children's Oncology Group Statistics and Data Center Grant | API |
| U10CA098543 U10FY2008–2013$179.0M | Children's Oncology Group Chair's Grant | API |
| U10CA180820 U10FY2014–2026$250.8M | Member Site Core | API |
| U10CA180827 U10FY2014–2018$3.0M | ECOG-ACRIN INTEGRATED LEUKEMIA TRANSLATIONAL RESEARCH CENTER | API |
| U10CA180850 U10FY2014–2018$6.8M | OSU as Network Lead Academic Participating Site for the NCI NCTN | API |
| U10CA180861 U10FY2014–2018$3.4M | ITSC for Leukemia: Novel Molecular Strategies for NCTN: "Individualized" Therapie | API |
| U10CA180886 U10FY2014–2026$437.3M | COG NCTN Network Group Operations Center | API |
| U10CA180899 U10FY2014–2026$165.4M | Children's Oncology Group Statistics and Data Center | API |
| U24CA114766 U24FY2008–2014$11.1M | Support for Human Specimen Banking in NCI-Sponsored Clinical Trials-(CGB) | API |
| U24CA196171 U24FY2015–2026$35.0M | The Alliance NCTN Biorepository and Biospecimen Resource | API |
| U24CA196172 U24FY2015–2026$41.1M | ECOG-ACRIN Biospecimen Bank to Support NCTN | 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.