Your browser doesn't support javascript.
loading
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.
Afiliação
  • Mattingly CJ; Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.
Environ Health Perspect ; 124(8): 1136-40, 2016 08.
Article em En | MEDLINE | ID: mdl-26871594
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 1241136-1140; http//dx.doi.org/10.1289/ehp.1510438.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Ambiental / Exposição Ambiental Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Ambiental / Exposição Ambiental Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article