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Developing, Supporting, and Using ?Open Data Standards

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  • Overview
The US Environmental Protection Agency has a particular interest in FAIR data, being a government agency that with finite resources ingests and reviews very large quantities of data in the course of developing chemical assessments. This interest gets stronger in proportion to the growing expectation that (a) chemical assessments should be conducted transparently and systematically, and (b) data collected by agencies such as EPA and ECHA should be reused in order to promote the 3Rs in research. This presentation will cover the following issues: (1) what the US EPA expects open data standards to look like; (2) how open data will facilitate integration of research by the scientific community and the assessment products of government agencies into open, transparent FAIR data platforms such as the Health Assessment Workspace Collaborative (HAWC); (3) the role of platforms such as HAWC in supporting chemical assessments specifically, and the reuse of research data in general; (4) how the US EPA is itself supporting the development of open data standards, in particular through development of terminology standards that help researchers consistently and accurately report their methods and results; and (5) how researchers and practitioners can get involved in and benefit from these efforts, via groups such as the Environmental Health Language Collaborative.

Impact/Purpose

Open science and data transparency policies, particularly implementation of FAIR (Findable, Accessible, Interoperable, and Reusable) data principles in research, have become a major priority of US, national, and international research governance and funding organizations worldwide. The purpose of these policies is to make it easier to find, validate, analyze, reproduce, and re-use scientific data in an era when evidence about the health effects of chemical exposures is being generated faster than it can be catalogued and processed. To help researchers and chemical assessment practitioners prepare for a near future in which open science standards are being implemented, this presentation provides an introduction to the open science workflows that researchers should anticipate engaging with in order to produce FAIR data. These workflows will include best practices for increasing credibility when working with sensitive or proprietary datasets that cannot be made openly available.

Citation

Angrish, M. Developing, Supporting, and Using ?Open Data Standards. Society of Toxicology Annual Meeting, Salt Lake City, UT, March 10 - 14, 2024.
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Last updated on January 30, 2025
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