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-LGG
Brain Lower Grade Glioma
23 awards paid to create it · 1 award funded work that used it
1. Awards that paid to create this data (6 of 23)
- Defining mechanisms of extracellular communication for cancer therapy · ERWIN G. VAN MEIR · FY2013–2017
- Biological annotation of TCGA data · GORDON B. MILLS, LYNDA CHIN · FY2012–2016
- 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
The best connected are shown.
2. The dataset
3. Articles that used it
4. Awards those articles were funded by
Awards that paid to create this data
Credited on the dataset's own marker paper.
| Award | Project | Evidence |
|---|---|---|
| R01CA163722 R01FY2013–2017$1.7M | Defining mechanisms of extracellular communication for cancer therapy | API |
| U01CA168394 U01FY2012–2016$4.7M | Biological annotation of TCGA data | 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 |
| U24CA143799 U24FY2009–2016$4.9M | TCGA Data Analysis Center at Berkeley | API |
| U24CA143835 U24FY2009–2016$10.6M | Center for Systems Analysis of the Cancer Regulome | API |
| U24CA143840 U24FY2009–2016$11.5M | MSKCC Center for Translational Cancer Genomic Analysis | API |
| U24CA143843 U24FY2009–2013$9.5M | The BCM Tumor Genome Characterization Center | API |
| U24CA143845 U24FY2009–2016$16.0M | The Cancer Genome Atlas Data Analysis Center | API |
| U24CA143848 U24FY2009–2016$20.8M | Gene Expression Patterns in Human Tumors Identified Using Transcript Sequencing | API |
| U24CA143858 U24FY2009–2016$8.9M | UCSC-Buck Inst. Genome Data Analysis Center for TCGA Research Network (GDAC) | API |
| U24CA143866 U24FY2009–2015$10.9M | Cancer transcriptome characterization using massively parallel DNA sequencing | API |
| U24CA143867 U24FY2009–2016$17.0M | Genome Characterization Center (GCC) | API |
| U24CA143882 U24FY2009–2016$13.3M | The USC-JHU Cancer Epigenome Characterization Center | API |
| U24CA143883 U24FY2009–2016$10.6M | Integrative Pipeline for Analysis & Translational Application of TCGA Data (GDAC) | API |
| U24CA144025 U24FY2009–2016$14.0M | Harvard Genome Characterization Center | API |
| U24CA180951 U24FY2013–2017$2.9M | Cloud Based Resource for Data Hosting, Visualization and Analysis Using UCSC Canc | API |
| U24CA194362 U24FY2015–2019$3.6M | Advanced Development of an Open-source Platform for Web-based Integrative Digital Image Analysis in Cancer | API |
Awards that funded work using this data
1 of 10 traced articles report an NCI award.
| Award | Project | Articles it is credited on | Evidence |
|---|---|---|---|
| U01CA242871 U01FY2019–2021$1.1M | The Federated Tumor Segmentation (FeTS) platform: An intuitive tool facilitating secure multi-institutional collaboration | 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 |
|---|---|---|
| U01CA242871 U01FY2019–2021$1.1M | The Federated Tumor Segmentation (FeTS) platform: An intuitive tool facilitating secure multi-institutional collaboration | 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.