Workshop Report: Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Harmonized Language

Author:

Holmgren Stephanie1ORCID,Bell Shannon M.2ORCID,Wignall Jessica3,Duncan Christopher G.4,Kwok Richard K.5ORCID,Cronk Ryan3ORCID,Osborn Kimberly3,Black Steven3ORCID,Thessen Anne6ORCID,Schmitt Charles1

Affiliation:

1. Office of Data Science, National Institute of Environmental Health Sciences (NIEHS), Durham, NC 27709, USA

2. Research Triangle Institute, Durham, NC 27709, USA

3. Health Sciences, ICF, Reston, VA 20190, USA

4. Genes, Environment, and Health Branch, Division of Extramural Research and Training, National Institute of Environmental Health Sciences (NIEHS), Durham, NC 27709, USA

5. Division of Neuroscience, National Institute on Aging (NIA), Bethesda, MD 20892, USA

6. Center for Health Artificial Intelligence, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA

Abstract

Harmonized language is essential to finding, sharing, and reusing large-scale, complex data. Gaps and barriers prevent the adoption of harmonized language approaches in environmental health sciences (EHS). To address this, the National Institute of Environmental Health Sciences and partners created the Environmental Health Language Collaborative (EHLC). The purpose of EHLC is to facilitate a community-driven effort to advance the development and adoption of harmonized language approaches in EHS. EHLC is a forum to pinpoint language harmonization gaps, to facilitate the development of, raise awareness of, and encourage the use of harmonization approaches and tools, and to develop new standards and recommendations. To ensure that EHLC’s focus and structure would be sustainable long-term and meet the needs of the field, EHLC launched an inaugural workshop in September 2021 focused on “Developing Sustainable Language Solutions” and “Building a Sustainable Community”. When the attendees were surveyed, 91% said harmonized language solutions would be of high value/benefit, and 60% agreed to continue contributing to EHLC efforts. Based on workshop discussions, future activities will focus on targeted collaborative use-case working groups in addition to offering education and training on ontologies, metadata, and standards, and developing an EHS language resource portal.

Funder

National Institute of Environmental Health Sciences

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference71 articles.

1. The FAIR guiding principles for scientific data management and stewardship;Wilkinson;Sci. Data,2016

2. Ontology for Biomedical Investigations (OBI) (2022, July 31). The Ontology for Biomedical Investigations. Available online: http://obi-ontology.org/.

3. Minimum information about a microarray experiment (MIAME)-toward standards for microarray data;Brazma;Nat. Genet.,2001

4. Evolving data standards for cryo-EM structures;Lawson;Struct. Dyn.,2020

5. Validation of a common data model for active safety surveillance research;Overhage;J. Am. Med. Inform. Assoc.,2012

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