TY - JOUR
T1 - Advancing exposure data analytics and repositories as part of the European Exposure Science Strategy 2020−2030
AU - Kosnik, Marissa B.
AU - Kephalopoulos, Stylianos
AU - Muñoz, Amalia
AU - Aurisano, Nicolò
AU - Cusinato, Alberto
AU - Dimitroulopoulou, Sani
AU - Slobodnik, Jaroslav
AU - De Mello, Jonathas
AU - Zare Jeddi, Maryam
AU - Cascio, Claudia
AU - Ahrens, Andreas
AU - Bruinen de Bruin, Yuri
AU - Lieck, Lothar
AU - Fantke, Peter
PY - 2022
Y1 - 2022
N2 - High-quality and comprehensive exposure-related data are critical for different decision contexts, including environmental and human health monitoring, and chemicals risk assessment and management. However, exposure-related data are currently scattered, frequently of unclear quality and structure, not readily accessible, and stored in various—partly overlapping—data repositories, leading to inefficient and ineffective data usage in Europe and globally. We propose strategic guidance for an integrated European exposure data production and management framework for use in science and policy, building on current and future data analysis and digitalization trends. We map the existing exposure data landscape to requirements for data analytics and repositories across European policies and regulations. We further identify needs and ways forward for improving data generation, sharing, and usage, and translate identified needs into an operational action plan for European and global advancement of exposure data for policies and regulations. Identified key areas of action are to develop consistent exposure data standards and terminology for data production and reporting, increase data transparency and availability, enhance data storage and related infrastructure, boost automation in data management, increase data integration, and advance tools for innovative data analysis. Improving and streamlining exposure data generation and uptake into science and policy is crucial for the European Chemicals Strategy for Sustainability and European Digital Strategy, in line with EU Data policies on data management and interoperability.
AB - High-quality and comprehensive exposure-related data are critical for different decision contexts, including environmental and human health monitoring, and chemicals risk assessment and management. However, exposure-related data are currently scattered, frequently of unclear quality and structure, not readily accessible, and stored in various—partly overlapping—data repositories, leading to inefficient and ineffective data usage in Europe and globally. We propose strategic guidance for an integrated European exposure data production and management framework for use in science and policy, building on current and future data analysis and digitalization trends. We map the existing exposure data landscape to requirements for data analytics and repositories across European policies and regulations. We further identify needs and ways forward for improving data generation, sharing, and usage, and translate identified needs into an operational action plan for European and global advancement of exposure data for policies and regulations. Identified key areas of action are to develop consistent exposure data standards and terminology for data production and reporting, increase data transparency and availability, enhance data storage and related infrastructure, boost automation in data management, increase data integration, and advance tools for innovative data analysis. Improving and streamlining exposure data generation and uptake into science and policy is crucial for the European Chemicals Strategy for Sustainability and European Digital Strategy, in line with EU Data policies on data management and interoperability.
KW - International Society of Exposure Science
KW - Data analysis
KW - Data management
KW - Chemicals
KW - Exposure assessment
KW - Risk assessment
U2 - 10.1016/j.envint.2022.107610
DO - 10.1016/j.envint.2022.107610
M3 - Journal article
C2 - 36356553
SN - 0160-4120
VL - 170
JO - Environment International
JF - Environment International
M1 - 107610
ER -