Area 2: Data Infrastructure and Management | NIEHS

Capacity and Infrastructure

Capacity and Infrastructure Regular - Data Infrastructure and Management

The progress we expect to make in our Research Areas of Emphasis is highly dependent on data-driven discovery. The rate of discovery will, in turn, be determined by the resolution of complex problems related to data integration, harmonization, accessibility, storage, and security . Our efforts must be to ensure the research community can readily adopt and integrate technical advances in data science methodologies and technologies into environmental health sciences that are accurate, high-resolution, and of high utility to researchers.

  • Implement policy, incentive, and funding systems that promote FAIR+ data practices.
  • Ensure data repositories, data standards, common data elements, and curation methods are used to support FAIR+ data sharing practices, to lower barriers to effective data sharing and interoperability.
  • Advance training in FAIR+ data science and management, as well as policies for their responsible use in environmental health research contexts.
  • Develop partnerships to include environmental health data in current and future repositories and facilitate processes for sharing such data for effective team science and collaborations across the biomedical enterprise.