Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/13861
Título: A human biomonitoring (HBM) Global Registry Framework: further advancement of HBM research following the FAIR principles
Autor: Zare Jeddi, Maryam
Virgolino, Ana
Fantke, Peter
Hopf, Nancy B.
Galea, Karen S.
Remy, Sylvie
Viegas, Susana
Mustieles, Vicente
Fernandez, Mariana F.
von Goetz, Natalie
Vicente, Joana Lobo
Slobodnik, Jaroslav
Rambaud, Loïc
Denys, Sébastien
St-Amand, Annie
Nakayama, Shoji F.
Santonen, Tiina
Barouki, Robert
Pasanen-Kase, Robert
Mol, Hans G.J.
Vermeire, Theo
Jones, Kate
Silva, Maria João
Louro, Henriqueta
van der Voet, Hilko
Duca, Radu-Corneliu
Verhagen, Hans
Canova, Cristina
van Klaveren, Jacob
Kolossa-Gehring, Marike
Bessems, Jos
Palavras-chave: Data governance
Data value chain
Harmonisation
Human biomonitoring
Registry
Regulatory risk assessment
Biological monitoring
Environmental health
FAIR principles
Metadata
Data: Set-2021
Editora: Elsevier
Citação: Zare Jeddi M, Virgolino A, Fantke P, Hopf N, Galea KS, Viegas S, et al. A human biomonitoring (HBM) Global Registry Framework: further advancement of HBM research following the FAIR principles. Int J Hyg Environ Health. 2021;238:113826.
Resumo: Data generated by the rapidly evolving human biomonitoring (HBM) programs are providing invaluable opportunities to support and advance regulatory risk assessment and management of chemicals in occupational and environmental health domains. However, heterogeneity across studies, in terms of design, terminology, biomarker nomenclature, and data formats, limits our capacity to compare and integrate data sets retrospectively (reuse). Registration of HBM studies is common for clinical trials; however, the study designs and resulting data collections cannot be traced easily. We argue that an HBM Global Registry Framework (HBM GRF) could be the solution to several challenges hampering the (re)use of HBM (meta)data. The aim is to develop a global, host-independent HBM registry framework based on the use of harmonized open-access protocol templates from designing, undertaking an HBM study to the use and possible reuse of the resulting HBM (meta)data. This framework should apply FAIR (Findable, Accessible, Interoperable, and Reusable) principles as a core data management strategy to enable the (re)use of HBM (meta)data to its full potential through the data value chain. Moreover, we believe that the implementation of FAIR principles is a fundamental enabler for digital transformation within environmental health. The HBM GRF would encompass internationally harmonized and agreed open access templates for HBM study protocols, structured web-based functionalities to deposit, find, and access harmonized protocols of HBM studies. Registration of HBM studies using the HBM GRF is anticipated to increase the FAIRness of the resulting (meta)data. It is also considered that the harmonization of existing data sets could be performed retrospectively. As a consequence, data wrangling activities to make data ready for analysis will be minimized. In addition, this framework would enable the HBM (inter)national community to trace new HBM studies already in the planning phase and their results once finalized. The HBM GRF could also serve as a platform enhancing communication between scientists, risk assessors, and risk managers/policymakers. The planned European Partnership for the Assessment of Risk from Chemicals (PARC) works along these lines, based on the experience obtained in previous joint European initiatives. Therefore, PARC could very well bring the first demonstration of the first essential functionalities within the development of the HBM GRF.
Peer review: yes
URI: http://hdl.handle.net/10400.21/13861
DOI: 10.1016/j.ijheh.2021.113826
Versão do Editor: https://www.sciencedirect.com/science/article/pii/S1438463921001413?via%3Dihub
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