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INTRODUCTION HEADER

Sharing research data supports the mission of the National Institutes of Health (NIH) and is essential to facilitate the translation of research results into knowledge, products, and procedures that improve human health. To set forth expectations that ensure the broad and responsible sharing of genomic research data, NIH issued the Genomic Data Sharing (GDS) Policy on August 27, 2014, in the NIH Guide Grants and Contracts (available at http://grants.nih.gov/grants/guide/notice-files/NOT-OD-14-124.html), and on August 28, 2014, in the Federal Register (available at https://federalregister.gov/a/2014-20385).

The GDS Policy became effective on January 25, 2015, and applies to all NIH-funded research (e.g., grants, contracts, and intramural research) that generates large-scale human or non-human genomic data, regardless of the funding level, as well as the use of these data for subsequent research. Large-scale data include genome-wide association studies (GWAS), single nucleotide polymorphisms (SNP) arrays, and genome sequence, transcriptomic, epigenomic, and gene expression data. Supplemental Information to the GDS Policy (available at http://gds.nih.gov/pdf/supplemental_info_GDS_Policy.pdf) provides examples of genomic research projects that are subject to the Policy and the timeline for submission and sharing of data from such projects.

More information on the NIH GDS Policy is available at http://gds.nih.gov/03policy2.html. Questions about the Policy can be e-mailed to GDS@mail.nih.gov.

 
IN THE SPOTLIGHT HEADER

The dbGaP Data Browser: a new, rapidly accessed NCBI resource for viewing dbGaP data

The National Center for Biotechnology Information's (NCBI) database of Genotypes and Phenotypes (dbGaP) is an important resource for researchers studying the genomic contributions to human health and disease. Researchers can access dbGaP data through a system designed to protect research participant privacy and honor the consent conditions participants agreed to when joining a research study. Recently, a new tool, the dbGaP Data Browser, was developed that allows scientists to more readily access some dbGaP data, while still protecting participant privacy. The Browser provides view-only access to data authorized for general research use through a simplified approval process, allowing researchers to view and better understand dbGaP data and to make better-informed decisions about requesting full access to particular datasets. For detailed information about the new dbGaP Data Browser, see nar.oxfordjournals.org/content/early/2016/11/29/ nar.gkw1139.full.

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