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.
CGCI-BLGSP
Burkitt Lymphoma Genome Sequencing Project
0 awards paid to create it · 8 awards funded work that used it
1. Awards that paid to create this data
2. The dataset
3. Articles that used it (4)
4. Awards those articles were funded by (6 of 8)
- Tumorigenesis by the Epstein Barr Virus · NANCY JOAN RAAB-TRAUB, Dirk P Dittmer · FY1985–2026funded 1 of these 4 articles
- Mechanisms of non-genetic variation in melanoma · Salil Garg · FY2020–2024funded 1 of these 4 articles
- Histology · Omer Yilmaz, MATTHEW G. VANDER HEIDEN · FY1985–2026funded 1 of these 4 articles
- Illuminating the evolutionary history of colorectal cancer metastasis: basic pr… · Kamila Naxerova · FY2018–2024funded 1 of these 4 articles
- Cancer Biology (CBP) · Douglas R. Green, Elizabeth Fox · FY1985–2026funded 2 of these 4 articles
- Translating genomic discoveries to improved outcomes for high risk acute leukem… · Charles G Mullighan · FY2017–2026funded 2 of these 4 articles
The best connected are shown.
Why one side of this chain is empty
- No repository or reviewer names this dataset's marker paper, so no award can be credited with creating it.
Awards that funded work using this data
4 of 10 traced articles report an NCI award.
| Award | Project | Articles it is credited on | Evidence |
|---|---|---|---|
| P01CA019014 P01FY1985–2026$100.3M | Tumorigenesis by the Epstein Barr Virus | API | |
| K08CA237856 K08FY2020–2024$976k | Mechanisms of non-genetic variation in melanoma | API | |
| P30CA014051 P30FY1985–2026$195.2M | Histology | API | |
| R37CA225655 R37FY2018–2024$3.0M | Illuminating the evolutionary history of colorectal cancer metastasis: basic principles and clinical applications | API | |
| P30CA021765 P30FY1985–2026$336.2M | Cancer Biology (CBP) | API | |
| R35CA197695 R35FY2017–2026$11.4M | Translating genomic discoveries to improved outcomes for high risk acute leukemia | API | |
| U24CA076518 U24FY1998–2026$111.6M | A Data Resource for Blood and Marrow Transplants and Adoptive Cellular Therapy Research | API | |
| P30CA008748 P30FY1985–2026$717.9M | Antitumor Assessment | API |
Awards that maintain or redistribute this data
Resource and center grants credited on articles that used the data. Kept out of the flow above because they pay for the pipes, not for a cohort or a finding.
| Award | Project | Evidence |
|---|---|---|
| P01CA019014 P01FY1985–2026$100.3M | Tumorigenesis by the Epstein Barr Virus | API |
| P30CA008748 P30FY1985–2026$717.9M | Antitumor Assessment | API |
| P30CA014051 P30FY1985–2026$195.2M | Histology | API |
| P30CA021765 P30FY1985–2026$336.2M | Cancer Biology (CBP) | API |
| U24CA076518 U24FY1998–2026$111.6M | A Data Resource for Blood and Marrow Transplants and Adoptive Cellular Therapy 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.