- Sign up for our email distribution list and join the community of researchers, ontologists, informaticists, and engineers working together on environmental health common language standards
- Check out the compilation of ontology resources
If you have questions about the community, use cases, or workshop events, please contact Stephanie Holmgren, Office of Data Science.
Welcome to the website for the proposed Environmental Health Language Collaborative!
The Collaborative is a new initiative to advance community development and application of a harmonized language for describing Environmental Health Science (EHS) research. In 2021, we strive to define the Collaborative and begin working together.
We welcome diverse representation of expertise, needs, and scientific interests to make this a successful and sustainable community.
Several webinar events have been held during 2021 to help set the stage, begin discussions, and draft plans for how to make progress on the Collaborative’s goals.
- The Value of Creating Language and Community in Catalyzing Knowledge-Driven Discovery in Environmental Health Research (June 24) addressed the background for embarking on this community initiative and put forward a foundation for how the community can come together.
- A Primer on Using Terminologies, Vocabularies, and Ontologies for Environmental Health Knowledge (July 20) provided attendees with sufficient starting knowledge to understand the different knowledge organization systems (especially ontologies), when to use them, where to find them, and how to apply them.
- Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences Through a Harmonized Language (September 9-10) was a two-day workshop focused on achieving community agreement on the purpose and scope of the Collaborative as well as making progress on the initial use cases and developing post-workshop action plans.
We welcome your input on the proposed community and look forward to your active and engaged participation as we work towards developing a community-driven harmonized environmental health language.
The generation of environmental health science (EHS) data continues to increase at an exponential rate. Leveraging this data to answer large-scale complex research questions is a challenge today and will continue to be as new methods arise and sophisticated statistical and machine learning approaches are increasingly adopted and automated.
A primary goal of the NIEHS Strategic Plan is to support Data to Knowledge to Action – the translational cascade from research results into a collective body of knowledge that ultimately informs and supports public health action. The development of innovative data science and data-driven approaches is integral to this goal for EHS specifically, and health initiatives generally.
An essential component to creating knowledge from data is to describe data with a harmonized language. Applying a harmonized language to environmental health data enhances its value by enabling consistent classification of data, increasing interoperability of databases, and promoting data sharing, reuse, and reanalysis; thereby, accelerating the pace of scientific discovery in EHS research.
This initiative is based on work begun at an NIEHS-sponsored September 2014 workshop on Laying a Community-based Foundation for Data-driven Semantic Standards in Environmental Health Sciences and will leverage additional work achieved at the Computable Exposome Workshop.