Advancing exposure data analytics and repositories as part of the European Exposure Science Strategy 2020–2030

Marissa B. Kosnik; Stylianos Kephalopoulos; Amalia Muñoz; Nicolò Aurisano; Alberto Cusinato; Sani Dimitroulopoulou; Jaroslav Slobodnik; Jonathas De Mello; Maryam Zare Jeddi; Claudia Cascio; Andreas Ahrens; Yuri Bruinen de Bruin; Lothar Lieck; Peter Fantke

doi:10.1016/j.envint.2022.107610

Advancing exposure data analytics and repositories as part of the European Exposure Science Strategy 2020–2030

Marissa B. Kosnik, Stylianos Kephalopoulos^*, Amalia Muñoz, Nicolò Aurisano, Alberto Cusinato, Sani Dimitroulopoulou, Jaroslav Slobodnik, Jonathas De Mello, Maryam Zare Jeddi, Claudia Cascio, Andreas Ahrens, Yuri Bruinen de Bruin, Lothar Lieck, Peter Fantke

^*Corresponding author for this work

UK Health Security Agency

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Article number	107610
Journal	Environment International
Volume	170
DOIs	https://doi.org/10.1016/j.envint.2022.107610
Publication status	Published - Dec 2022

Bibliographical note

Funding Information:
The review of the manuscript by Dr Antonio Franco (EC, DG JRC) and Dr Alessandro Carletti (EC, DG JRC), is gratefully acknowledged. This study was executed by the ISES Europe working group on “Data repositories & analytics”, kicked-off during the 3 rd European Exposure Science Strategy Workshop organised and supported by the European Commission’s Joint Research Centre on 30/31 Jan 2020 in Ispra, Italy (JRC project no 30032: DTHC – Digital Transformation of Health and Care). The study was financially supported by the “Safe and Efficient Chemistry by Design (SafeChem)” project funded by the Swedish Foundation for Strategic Environmental Research (grant no. DIA 2018/11), by the SPRINT project (grant no. 862568) funded under the European Union's Horizon 2020 Research and Innovation program, and by the PARC project (grant no. 101057014) funded under the European Union’s Horizon Europe Research and Innovation program.

Publisher Copyright:
© 2022 The Authors

Keywords

Chemicals
Data analysis
Data management
Exposure assessment
International Society of Exposure Science
Risk assessment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.envint.2022.107610

Cite this

Kosnik, M. B., Kephalopoulos, S., Muñoz, A., Aurisano, N., Cusinato, A., Dimitroulopoulou, S., Slobodnik, J., De Mello, J., Zare Jeddi, M., Cascio, C., Ahrens, A., Bruinen de Bruin, Y., Lieck, L., & Fantke, P. (2022). Advancing exposure data analytics and repositories as part of the European Exposure Science Strategy 2020–2030. Environment International, 170, [107610]. https://doi.org/10.1016/j.envint.2022.107610

@article{93e90815006b4568939585a8205c078b,

title = "Advancing exposure data analytics and repositories as part of the European Exposure Science Strategy 2020–2030",

abstract = "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.",

keywords = "Chemicals, Data analysis, Data management, Exposure assessment, International Society of Exposure Science, Risk assessment",

author = "Kosnik, {Marissa B.} and Stylianos Kephalopoulos and Amalia Mu{\~n}oz and Nicol{\`o} Aurisano and Alberto Cusinato and Sani Dimitroulopoulou and Jaroslav Slobodnik and {De Mello}, Jonathas and {Zare Jeddi}, Maryam and Claudia Cascio and Andreas Ahrens and {Bruinen de Bruin}, Yuri and Lothar Lieck and Peter Fantke",

note = "Funding Information: The review of the manuscript by Dr Antonio Franco (EC, DG JRC) and Dr Alessandro Carletti (EC, DG JRC), is gratefully acknowledged. This study was executed by the ISES Europe working group on “Data repositories & analytics”, kicked-off during the 3 rd European Exposure Science Strategy Workshop organised and supported by the European Commission{\textquoteright}s Joint Research Centre on 30/31 Jan 2020 in Ispra, Italy (JRC project no 30032: DTHC – Digital Transformation of Health and Care). The study was financially supported by the “Safe and Efficient Chemistry by Design (SafeChem)” project funded by the Swedish Foundation for Strategic Environmental Research (grant no. DIA 2018/11), by the SPRINT project (grant no. 862568) funded under the European Union's Horizon 2020 Research and Innovation program, and by the PARC project (grant no. 101057014) funded under the European Union{\textquoteright}s Horizon Europe Research and Innovation program. Publisher Copyright: {\textcopyright} 2022 The Authors",

year = "2022",

month = dec,

doi = "10.1016/j.envint.2022.107610",

language = "English",

volume = "170",

journal = "Environment International",

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Kosnik, MB, Kephalopoulos, S, Muñoz, A, Aurisano, N, Cusinato, A, Dimitroulopoulou, S, Slobodnik, J, De Mello, J, Zare Jeddi, M, Cascio, C, Ahrens, A, Bruinen de Bruin, Y, Lieck, L & Fantke, P 2022, 'Advancing exposure data analytics and repositories as part of the European Exposure Science Strategy 2020–2030', Environment International, vol. 170, 107610. https://doi.org/10.1016/j.envint.2022.107610

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

N1 - Funding Information: The review of the manuscript by Dr Antonio Franco (EC, DG JRC) and Dr Alessandro Carletti (EC, DG JRC), is gratefully acknowledged. This study was executed by the ISES Europe working group on “Data repositories & analytics”, kicked-off during the 3 rd European Exposure Science Strategy Workshop organised and supported by the European Commission’s Joint Research Centre on 30/31 Jan 2020 in Ispra, Italy (JRC project no 30032: DTHC – Digital Transformation of Health and Care). The study was financially supported by the “Safe and Efficient Chemistry by Design (SafeChem)” project funded by the Swedish Foundation for Strategic Environmental Research (grant no. DIA 2018/11), by the SPRINT project (grant no. 862568) funded under the European Union's Horizon 2020 Research and Innovation program, and by the PARC project (grant no. 101057014) funded under the European Union’s Horizon Europe Research and Innovation program. Publisher Copyright: © 2022 The Authors

PY - 2022/12

Y1 - 2022/12

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 - Chemicals

KW - Data analysis

KW - Data management

KW - Exposure assessment

KW - International Society of Exposure Science

KW - Risk assessment

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DO - 10.1016/j.envint.2022.107610

M3 - Article

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SN - 0160-4120

VL - 170

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JF - Environment International

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ER -

Advancing exposure data analytics and repositories as part of the European Exposure Science Strategy 2020–2030

Abstract

Bibliographical note

Keywords

UN SDGs

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