H3ABioNet, a Pan African Bioinformatics Network for the Human Heredity and Health in Africa (H3Africa) consortium, was established to develop bioinformatics capacity in Africa and enable genomics data analysis by H3Africa researchers across the continent. H3ABioNet provides guidelines and resources on the use of clinical data, data management, and data standardization.

This resource includes links to policies, repositories, and guidance for the sharing of results and accomplishments of the activities funded by the National Institutes of Health (NIH) with the research community and the public.

The Sulston Project, headed by co-principal investigators Robert Cook-Deegan, M.D., and Amy McGuire, J.D., Ph.D., aims to examine the challenges associated with developing a knowledge commons to support the interpretation of inherited, cancer-associated, genomic variants and develop policies to address disincentives for data sharing and implementation challenges.

The Data Security Toolkit produced by the Global Alliance for Genomics and Health (GA4GH) offers ready-to-use data security guidelines for genomic data sharing.

The Regulatory & Ethics Toolkit produced by the Global Alliance for Genomics and Health (GA4GH) contains ready-to-use regulatory and ethics guidance for genomic and health-related data sharing including consent, data privacy and security, and copyright policies.

The Genomic Data Toolkit produced by the Global Alliance for Genomics and Health (GA4GH) includes resources to support genomic data sharing such as machine readable consent guidance, a catalogue of available tools for documenting family health history information, a data use ontology, standards for building data repositories, and downloadable APIs.

This NIH Guide Notice, announced on 12/2019, is in effect for applications submitted on or after 1/25/2021 and applies to new research projects deriving genomic data from human sources, such as specimens and cell lines.

This FAQ, provided by NHGRI, offers further information on the NHGRI implementation of the NIH Genomic Data Sharing Policy.

This slide deck, which covers the informed consent process, harmonization of the 2023 DMS policy with the NIH Genomic Data Sharing Policy, sharing of American Indian/ Alaska Native participant data, and other topics, was presented in Part 2 of the Conversations with NIH Webinar Series.

This collection of resources, which includes a recorded meeting, pre-award administrator guidance, brief descriptions of the NIH 2023 DMS policy, and compliance guidance, was compiled by the Research Management Group of Stanford University School of Medicine.