Title |
The dbGaP data browser: a new tool for browsing dbGaP controlled-access genomic data
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Published in |
Nucleic Acids Research, November 2016
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DOI | 10.1093/nar/gkw1139 |
Pubmed ID | |
Authors |
Kira M. Wong, Kristofor Langlais, Geoffrey S. Tobias, Colette Fletcher-Hoppe, Donna Krasnewich, Hilary S. Leeds, Laura Lyman Rodriguez, Georgy Godynskiy, Valerie A. Schneider, Erin M. Ramos, Stephen T. Sherry |
Abstract |
The database of Genotypes and Phenotypes (dbGaP) Data Browser (https://www.ncbi.nlm.nih.gov/gap/ddb/) was developed in response to requests from the scientific community for a resource that enable view-only access to summary-level information and individual-level genotype and sequence data associated with phenotypic features maintained in the controlled-access tier of dbGaP. Until now, the dbGaP controlled-access environment required investigators to submit a data access request, wait for Data Access Committee review, download each data set and locally examine them for potentially relevant information. Existing unrestricted-access genomic data browsing resources (e.g. http://evs.gs.washington.edu/EVS/, http://exac.broadinstitute.org/) provide only summary statistics or aggregate allele frequencies. The dbGaP Data Browser serves as a third solution, providing researchers with view-only access to a compilation of individual-level data from general research use (GRU) studies through a simplified controlled-access process. The National Institutes of Health (NIH) will continue to improve the Browser in response to user feedback and believes that this tool may decrease unnecessary download requests, while still facilitating responsible genomic data-sharing. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 11% |
United Kingdom | 1 | 11% |
Belgium | 1 | 11% |
Unknown | 6 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 56% |
Members of the public | 4 | 44% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 54 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 28% |
Student > Ph. D. Student | 6 | 11% |
Student > Bachelor | 5 | 9% |
Other | 5 | 9% |
Professor | 5 | 9% |
Other | 8 | 15% |
Unknown | 10 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 15 | 28% |
Agricultural and Biological Sciences | 8 | 15% |
Computer Science | 5 | 9% |
Medicine and Dentistry | 4 | 7% |
Nursing and Health Professions | 3 | 6% |
Other | 8 | 15% |
Unknown | 11 | 20% |