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Veröffentlichung Europäische Human-Biomonitoring Initiative erfolgreich abgeschlossen(2022) Apel, Petra; Kolossa-Gehring, Marike; Lange, Rosa; Pack, Kim Laura; Reiber, Lena; Weise, Philipp2017 wurde die Europäische Human Biomonitoring Initiative (HBM4EU) mit dem Ziel gestartet, die Schadstoffbelastung der EU Bevölkerung systematisch zu erfassen. Die Belastungen der europäischen Bevölkerung mit einer Vielzahl von Umweltschadstoffen wurden erstmals vergleichbar ermittelt, bewertet und bereitgestellt. Die Ergebnisse zeigen, dass die Belastungen der EU-Bevölkerung mit vielen Schadstoffen, wie etwa bestimmten Weichmachern und per- und polyfluorierten Alkylsubstanzen (PFAS), zu hoch sind, und gesundheitliche Beeinträchtigungen nicht mit ausreichender Sicherheit ausgeschlossen werden können. Die Erkenntnisse werden an die politischen Entscheidungsträger weitergegeben und sollen bei der Verbesserung der Chemikalien-, Umwelt- und Gesundheitspolitik unterstützen, sodass letztlich gesundheitsrelevante chemische Belastungen minimiert werden. Der folgende Artikel gibt eine Übersicht über die wichtigsten Projektergebnisse. Quelle: UMID : Umwelt und Mensch - Informationsdienst ; Umwelt & Gesundheit, Umweltmedizin, Verbraucherschutz / Boden- und Lufthygiene (Berlin) Institut für Wasser- - (2022), Heft 02, Seite 41Veröffentlichung FAIR environmental and health registry (FAIREHR)- supporting the science to policy interface and life science research, development and innovation(2023) Jeddi, Maryam Zare; Galea, Karen S.; Viegas, Susana de Matos; Kolossa-Gehring, MarikeThe environmental impact on health is an inevitable by-product of human activity. Environmental health sciences is a multidisciplinary field addressing complex issues on how people are exposed to hazardous chemicals that can potentially affect adversely the health of present and future generations. Exposure sciences and environmental epidemiology are becoming increasingly data-driven and their efficiency and effectiveness can significantly improve by implementing the FAIR (findable, accessible, interoperable, reusable) principles for scientific data management and stewardship. This will enable data integration, interoperability and (re)use while also facilitating the use of new and powerful analytical tools such as artificial intelligence and machine learning in the benefit of public health policy, and research, development and innovation (RDI). Early research planning is critical to ensuring data is FAIR at the outset. This entails a well-informed and planned strategy concerning the identification of appropriate data and metadata to be gathered, along with established procedures for their collection, documentation, and management. Furthermore, suitable approaches must be implemented to evaluate and ensure the quality of the data. Therefore, the â€ÌEurope Regional Chapter of the International Society of Exposure Scienceâ€Ì (ISES Europe) human biomonitoring working group (ISES Europe HBM WG) proposes the development of a FAIR Environment and health registry (FAIREHR) (hereafter FAIREHR). FAIR Environment and health registry offers preregistration of studies on exposure sciences and environmental epidemiology using HBM (as a starting point) across all areas of environmental and occupational health globally. The registry is proposed to receive a dedicated web-based interface, to be electronically searchable and to be available to all relevant data providers, users and stakeholders. Planned Human biomonitoring studies would ideally be registered before formal recruitment of study participants. The resulting FAIREHR would contain public records of metadata such as study design, data management, an audit trail of major changes to planned methods, details of when the study will be completed, and links to resulting publications and data repositories when provided by the authors. The FAIREHR would function as an integrated platform designed to cater to the needs of scientists, companies, publishers, and policymakers by providing user-friendly features. The implementation of FAIREHR is expected to yield significant benefits in terms of enabling more effective utilization of human biomonitoring (HBM) data. © 2023 The Authors