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Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences
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 environmen...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Institute of Environmental Health Sciences
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977056/ https://www.ncbi.nlm.nih.gov/pubmed/26871594 http://dx.doi.org/10.1289/ehp.1510438 |
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author | Mattingly, Carolyn J. Boyles, Rebecca Lawler, Cindy P. Haugen, Astrid C. Dearry, Allen Haendel, Melissa |
author_facet | Mattingly, Carolyn J. Boyles, Rebecca Lawler, Cindy P. Haugen, Astrid C. Dearry, Allen Haendel, Melissa |
author_sort | Mattingly, Carolyn J. |
collection | PubMed |
description | 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 |
format | Online Article Text |
id | pubmed-4977056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | National Institute of Environmental Health Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-49770562016-08-22 Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences Mattingly, Carolyn J. Boyles, Rebecca Lawler, Cindy P. Haugen, Astrid C. Dearry, Allen Haendel, Melissa Environ Health Perspect Review 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 National Institute of Environmental Health Sciences 2016-02-12 2016-08 /pmc/articles/PMC4977056/ /pubmed/26871594 http://dx.doi.org/10.1289/ehp.1510438 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, “Reproduced with permission from Environmental Health Perspectives”); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Review Mattingly, Carolyn J. Boyles, Rebecca Lawler, Cindy P. Haugen, Astrid C. Dearry, Allen Haendel, Melissa Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences |
title | Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences |
title_full | Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences |
title_fullStr | Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences |
title_full_unstemmed | Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences |
title_short | Laying a Community-Based Foundation for Data-Driven Semantic Standards in Environmental Health Sciences |
title_sort | laying a community-based foundation for data-driven semantic standards in environmental health sciences |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977056/ https://www.ncbi.nlm.nih.gov/pubmed/26871594 http://dx.doi.org/10.1289/ehp.1510438 |
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