Dataset Information

Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences.

ABSTRACT:

Background

Despite increasing availability of environmental health science (EHS) data, development, and implementation of relevant semantic standards, such as ontologies or hierarchical vocabularies, has lagged. Consequently, integration and analysis of information needed to better model environmental influences on human health remains a significant challenge.

Objectives

We aimed to identify a committed community and mechanisms needed to develop EHS semantic standards that will advance understanding about the impacts of environmental exposures on human disease.

Methods

The National Institute of Environmental Health Sciences sponsored the "Workshop for the Development of a Framework for Environmental Health Science Language" hosted at North Carolina State University on 15-16 September 2014. Through the assembly of data generators, users, publishers, and funders, we aimed to develop a foundation for enabling the development of community-based and data-driven standards that will ultimately improve standardization, sharing, and interoperability of EHS information.

Discussion

Creating and maintaining an EHS common language is a continuous and iterative process, requiring community building around research interests and needs, enabling integration and reuse of existing data, and providing a low barrier of access for researchers needing to use or extend such a resource.

Conclusions

Recommendations included developing a community-supported web-based toolkit that would enable a) collaborative development of EHS research questions and use cases, b) construction of user-friendly tools for searching and extending existing semantic resources, c) education and guidance about standards and their implementation, and d) creation of a plan for governance and sustainability.

Citation

Mattingly CJ, Boyles R, Lawler CP, Haugen AC, Dearry A, Haendel M. 2016. Laying a community-based foundation for data-driven semantic standards in environmental health sciences. Environ Health Perspect 124:1136-1140;?http://dx.doi.org/10.1289/ehp.1510438.

SUBMITTER: Mattingly CJ

PROVIDER: S-EPMC4977056 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

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Publications

Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences.

Mattingly Carolyn J CJ Boyles Rebecca R Lawler Cindy P CP Haugen Astrid C AC Dearry Allen A Haendel Melissa M

Environmental health perspectives 20160212 8

<h4>Background</h4>Despite increasing availability of environmental health science (EHS) data, development, and implementation of relevant semantic standards, such as ontologies or hierarchical vocabularies, has lagged. Consequently, integration and analysis of information needed to better model environmental influences on human health remains a significant challenge.<h4>Objectives</h4>We aimed to identify a committed community and mechanisms needed to develop EHS semantic standards that will ad ...[more]

PMID: 26871594

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Dataset Information

Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences.

Background

Objectives

Methods

Discussion

Conclusions

Citation

Publications

Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences.

Similar Datasets

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