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

Holly M Mortensen1, Bradley Beach2, Weston Slaughter2,3

  • 1ORD-CPHEA, US Environmental Protection agency, Research Triangle Park, NC, 27711, USA.

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|May 27, 2024
PubMed
Summary
This summary is machine-generated.

Federal agencies are improving access to nanomaterial safety data by establishing a common language for nano Environmental Health and Safety (nanoEHS) data, enhancing interoperability and sharing across platforms.

Keywords:
nanomaterial; database; ontology

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Area of Science:

  • Environmental Health and Safety
  • Nanomaterials Science
  • Data Science and Informatics

Background:

  • The U.S. Federal Government generates substantial nanomaterial and nano Environmental Health and Safety (nanoEHS) data.
  • There is a recognized need for improved data interoperability, translation, and sustainability within Federal nanoEHS databases.
  • The NaKnowBase (NKB) is a key resource developed by the EPA Office of Research and Development (ORD) for storing experimental data on engineered nanomaterials' environmental and biological interactions.

Purpose of the Study:

  • To establish a common language for nanoEHS data, aligning with FAIR data standards.
  • To address nomenclature challenges in nanomaterial data for enhanced data sharing and interoperability.
  • To ensure consistency and facilitate collaboration with U.S. and European partners.

Main Methods:

  • Implementing semantic integration for the EPA NaKnowBase (NKB).
  • Developing computational code to convert NKB records into Research Description Framework (RDF) format.
  • Utilizing the OntoSearcher tool to partially automate ontology mapping and reduce manual curation.

Main Results:

  • The NaKnowBase (NKB) has been updated for semantic integration.
  • Computational tools have been developed to transform NKB data into RDF.
  • The OntoSearcher tool aids in automating the ontology mapping process.

Conclusions:

  • The U.S. Environmental Protection Agency (EPA) is actively promoting FAIR data standards for Federal nanoEHS data.
  • Semantic integration and the development of NAMs (computational tools) are key strategies to improve nanoEHS data management.
  • These efforts aim to enhance data accessibility and usability at the Federal partner level.