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Exposure Data Standards

Exposure Data Standards. Peter P. Egeghy National Exposure Research Laboratory, U.S. Environmental Protection Agency. Need for Standards for Data Representation. Purpose of Standards: Allow data to be efficiently stored, communicated, and interpreted

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Exposure Data Standards

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  1. Exposure Data Standards Peter P. Egeghy National Exposure Research Laboratory, U.S. Environmental Protection Agency

  2. Need for Standards for Data Representation • Purpose of Standards: Allow data to be efficiently stored, communicated, and interpreted • Drivers for standardization of exposure data: • Data sharing pressures • Need for chemical prioritization • Desire to “mainstream” exposure science • Take the Zartarian/ISEA/IPCS effort to the next level

  3. Data Sharing Pressures • Decades-old call consistency and standardized procedures for collecting, storing, and reporting exposure-related information • Public Health: epidemiology, exposure limits, risk management • NIH Data Sharing Policy (2003) • Data sharing plan included in application (>$500K) • OMB Circular A-110 – Applies to EPA as well • Recently, REACH legislation has produced increased interest • Manufacturers/Importers required to consider likely exposures • Predictive tools are being developed • Journals are being asked to require authors to include the basic data as supplementary material

  4. Exposure-Based Chemical Prioritization • Risk Assessment • Risk defined as Hazard x Exposure • Incorporate vital human exposure resources • Accessible exposure databases facilitate: • Application of environmental informatics tools • Linkages with toxicity data (ACToR, DSSTox) • Linkages with product usage data • Large-scale, multidimensional data analysis • Formal representation of key concepts and relationships • Defines exposure domain and data structure Brazma et al., 2006 Genetics 7:593-605

  5. Pulling Exposure Science away from the Fringe • To further the scientific understanding of human exposure • Make existing human exposure data more accessible to: • The broader science community • Reality = most of the “exposure assessment” for chemicals management will not be performed by exposure scientists • Automated interrogation of databases is replacing hand-interpretation of data • Established hierarchies and system of mapping is essential • The public • Exposure data will reach the public • Example: AHHS written up in “Parade” and “Parenting” magazines

  6. Workgroup • Establish a Workgroup for developing standards for data representation • Guidance from experts in the field • Include both generators and users • Define the exposure domain • Develop a conceptual model • Specify how to describe and communicate data and information • Establish a minimal set of the most informative parameters • Beyond consistent naming, coding, and formatting of data elements, a formal representation of key concepts and relationships • Need your help!

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