Translating nanoEHS data using EPA NaKnowBase and the resource description framework.

Autor:	Mortensen HM; ORD-CPHEA, US Environmental Protection agency, Research Triangle Park, NC, 27711, USA., Beach B; Appointee at the Office of Research and Development, US Environmental Protection Agency, Oak Ridge Institute for Science and Education (ORISE), Research Triangle Park, NC, 27711, USA., Slaughter W; Appointee at the Office of Research and Development, US Environmental Protection Agency, Oak Ridge Institute for Science and Education (ORISE), Research Triangle Park, NC, 27711, USA.; Department of Biology, Duke University, Durham, NC, USA., Senn J; Oak Ridge Associated Universities, Oak Ridge, Tennessee, USA.; Metabolon, Inc. Precision Metabolomics, Durham, NC, USA., Williams A; ORD-CCTE, US Environmental Protection Agency, RTP, NC, 27711, USA., Boyes W; ORD-CPHEA, US Environmental Protection agency, Research Triangle Park, NC, 27711, USA.
Jazyk:	angličtina
Zdroj:	F1000Research [F1000Res] 2024 Mar 08; Vol. 13, pp. 169. Date of Electronic Publication: 2024 Mar 08 (Print Publication: 2024).
DOI:	10.12688/f1000research.141056.1
Abstrakt:	Background: The U.S. Federal Government has supported the generation of extensive amounts of nanomaterials and related nano Environmental Health and Safety (nanoEHS) data, there is a need to make these data available to stakeholders. With recent efforts, a need for improved interoperability, translation, and sustainability of Federal nanoEHS data in the United States has been realized. The NaKnowBase (NKB) is a relational database containing experimental results generated by the EPA Office of Research and Development (ORD) regarding the actions of engineered nanomaterials on environmental and biological systems. Through the interaction of the National Nanotechnology Initiative's Nanotechnology Environmental Health Implications (NEHI) Working Group, and the Database and Informatics Interest Group (DIIG), a U.S. Federal nanoEHS Consortium has been formed. Methods: The primary goal of this consortium is to establish a "common language" for nanoEHS data that aligns with FAIR data standards. A second goal is to overcome nomenclature issues inherent to nanomaterials data, ultimately allowing data sharing and interoperability across the diverse U.S. Federal nanoEHS data compendium, but also in keeping a level of consistency that will allow interoperability with U.S. and European partners. The most recent version of the EPA NaKnowBase (NKB) has been implemented for semantic integration. Computational code has been developed to use each NKB record as input, modify and filter table data, and subsequently output each modified record to a Research Description Framework (RDF). To improve the accuracy and efficiency of this process the EPA has created the OntoSearcher tool. This tool partially automates the ontology mapping process, thereby reducing onerous manual curation. Conclusions: Here we describe the efforts of the US EPA in promoting FAIR data standards for Federal nanoEHS data through semantic integration, as well as in the development of NAMs (computational tools) to facilitate these improvements for nanoEHS data at the Federal partner level. Competing Interests: No competing interests were disclosed. (Copyright: © 2024 Mortensen HM et al.)
Databáze:	MEDLINE
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