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.
TCGA-GBM
Glioblastoma Multiforme
10 awards paid to create it · 2 awards funded work that used it
1. Awards that paid to create this data (6 of 10)
- Genomic & Genetic Characterization of Amplicons in GBMs · LYNDA CHIN · FY2003–2007
- The TCGA Cancer Genome Characterization Center at MSKCC · Marc Ladanyi · FY2006–2009
- Cancer Genome Characterization using Gene Expression and DNA Copy Number Analys… · CHARLES M PEROU · FY2006–2009
- Center for Cancer Genome Characterization · Matthew L. Meyerson · FY2006–2009
- The Berkeley Cancer Genome Center · JOE W. GRAY · FY2006–2009
- Cancer Genomics Center · Raju S. Kucherlapati · FY2006–2009
The best connected are shown.
2. The dataset
3. Articles that used it (2)
4. Awards those articles were funded by (2)
Awards that paid to create this data
Credited on the dataset's own marker paper.
| Award | Project | Evidence |
|---|---|---|
| R01CA099041 R01FY2003–2007$1.5M | Genomic & Genetic Characterization of Amplicons in GBMs | API |
| U24CA126543 U24FY2006–2009$5.1M | The TCGA Cancer Genome Characterization Center at MSKCC | API |
| U24CA126544 U24FY2006–2009$4.9M | Cancer Genome Characterization using Gene Expression and DNA Copy Number Analysis | API |
| U24CA126546 U24FY2006–2009$7.7M | Center for Cancer Genome Characterization | API |
| U24CA126551 U24FY2006–2009$5.4M | The Berkeley Cancer Genome Center | API |
| U24CA126554 U24FY2006–2009$6.1M | Cancer Genomics Center | API |
| U24CA126561 U24FY2006–2009$2.8M | Cancer Genome Characterization Center at Johns Hopkins | API |
| U24CA126563 U24FY2006–2009$5.6M | HudsonAlpha Cancer Genome Characterization Center | API |
| U24CA143848 U24FY2009–2016$20.8M | Gene Expression Patterns in Human Tumors Identified Using Transcript Sequencing | API |
| U24CA144025 U24FY2009–2016$14.0M | Harvard Genome Characterization Center | API |
Awards that funded work using this data
2 of 10 traced articles report an NCI award.
| Award | Project | Articles it is credited on | Evidence |
|---|---|---|---|
| P30CA091842 P30FY2001–2026$223.2M | Tissue Procurement Core | API | |
| R01CA260271 R01FY2021–2025$3.1M | Multi-scale modeling of glioma for the prediction of treatment response, treatment monitoring and treatment allocation | 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 |
|---|---|---|
| P30CA091842 P30FY2001–2026$223.2M | Tissue Procurement Core | 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.