Data for Puentes-Mestril et al., Evaluation of scientific impact and knowledge translation facilitated by controlled sharing of human genomic data under the NIH Genomic Data Sharing Policy

Sharing data can increase scientific transparency and reproducibility, allow for novel uses, and spur discovery and innovation beyond the research enterprise. To maximize these benefits, the US National Institutes of Health (NIH) has implemented several data sharing efforts, including the 2014 Genomic Data Sharing (GDS) Policy, which promotes the broad and responsible sharing of genomic data. The Policy expects large-scale human genomic data resulting from NIH funding to be shared through controlled-access data repositories, including the NIH the database of Genotypes and Phenotypes (dbGaP). To understand how sharing genomic data through controlled access repositories contributes to secondary research and facilitates the translation of research to broader societal benefits, we assessed the impact of research that reused data accessed through dbGaP’s Authorized Access System. This dataset contains the results of our analysis.For our analysis, a list of “Manuscripts Citing dbGaP Authorized Access System Data” was downloaded from https://www.ncbi.nlm.nih.gov/gap/summary/pub/ on April 26, 2023 and curated to ensure accuracy and compatibility with our analysis tools. Publications were categorized as a “deposit” if authored by a data submitter, “secondary use” if acknowledging a phs accession number as a source of data, or “reference” if referencing a phs accession number as a resource but not a specific source of data. Publications meeting the criteria of both a deposit and secondary use publication were manually categorized as secondary use. Publications not yet categorized were labeled as “undetermined.” To ensure compatibility with our analysis tools, the PubMed Central IDs (PMCIDs) of all remaining publications on the list were converted to their corresponding PubMed ID (PMID) using the NIH conversion tool (https://www.ncbi.nlm.nih.gov/pmc/tools/idconv/). Publications lacking a corresponding PMID were removed from further analysis.To determine the scientific influence of secondary use publications, we used the NIH Office of Portfolio Analysis’ (OPA) <i>iCite</i> tool (https://icite.od.nih.gov/) to calculate their Relative Citation Ratios (RCRs). For additional bibliometric analysis, we used<i> iSearch</i>, a portfolio analysis platform internal to NIH that contains linked datasets of publications, clinical trials, global grants, and patents.For additional details, please refer to README.docx. For the methodology used to generate each file, please refer to the README tab of the corresponding CSV file.