Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

Abstract Ensuring data quality, completeness, and interoperability is crucial for progressing safety research, Safe‐and‐Sustainable‐by‐Design approaches, and regulatory approval of nanoscale and advanced materials. While the FAIR (Findable, Accessible, Interoperable, and Re‐usable) principles aim to promote data re‐use, they do not address data quality, essential for data re‐use for advancing sustainable and safe innovation. Effective quality assurance procedures require (meta)data to conform to community‐agreed standards. Nanosafety data offer a key reference point for developing best practices in data management for advanced materials, as their large‐scale generation coincided with the emergence of dedicated data quality criteria and concepts such as FAIR data. This work highlights frameworks, methodologies, and tools that address the challenges associated with the multidisciplinary nature of nanomaterial safety data. Existing approaches to evaluating the reliability, relevance, and completeness of data are considered in light of their potential for integration into harmonized standards and adaptation to advance material requirements. The goal here is to emphasize the importance of automated tools to reduce manual labor in making (meta)data FAIR, enabling trusted data re‐use and fostering safer, more sustainable innovation of advanced materials. Awareness and prioritization of these challenges are critical for building robust data infrastructures.

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Publication Details

Journal
Advanced Sustainable Systems
Published
2025-12-26
DOI
https://doi.org/10.1002/adsu.202500567
Citations
1
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
3.25

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article

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

Ewelina Wyrzykowska, Thomas E. Exner, Penny Nymark, Katie Reilly et al.
1 citations
Advanced Sustainable Systems
Research Data Management Practices
3.25
article

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

Ewelina Wyrzykowska, Thomas E. Exner, Penny Nymark, Katie Reilly, Emil Cimpan, Hubert Rauscher, Martin Himly, D. Maier, Camilla Delpivo, Gergana Tancheva, Gianpietro Basei, Jeaphianne van Rijn, Panagiotis Isigonis, Anna Luisa Costa, Dmitri Ciornii, Verónica I. Dumit, Georgia Melagraki, Damjana Drobne, Egon Willighagen, Chiara Laura Battistelli, Mária Dušinská, A. Benítez Jiménez, Irini Furxhi, Anastasios G. Papadiamantis, Ammar Ammar, Martine Bakker, Eva Kranjc, Neeraj Shandilya, Steffi Friedrichs, Svetlana Avramova, Antreas Afantitis, Hyun Kil Shin, Ana Sofia Fonseca, Iseult Lynch, Tomasz Puzyn, Nina Jeliazkova, Dalila Antunes, Nikolay Kochev, Vasile‐Dan Hodoroaba, Cecilia Bossa, Monica J. B. Amorim, Mihaela Roxana Cimpan, Janeck J. Scott‐Fordsmand, Danail Hristozov
article en
1 citations

Abstract

Abstract Ensuring data quality, completeness, and interoperability is crucial for progressing safety research, Safe‐and‐Sustainable‐by‐Design approaches, and regulatory approval of nanoscale and advanced materials. While the FAIR (Findable, Accessible, Interoperable, and Re‐usable) principles aim to promote data re‐use, they do not address data quality, essential for data re‐use for advancing sustainable and safe innovation. Effective quality assurance procedures require (meta)data to conform to community‐agreed standards. Nanosafety data offer a key reference point for developing best practices in data management for advanced materials, as their large‐scale generation coincided with the emergence of dedicated data quality criteria and concepts such as FAIR data. This work highlights frameworks, methodologies, and tools that address the challenges associated with the multidisciplinary nature of nanomaterial safety data. Existing approaches to evaluating the reliability, relevance, and completeness of data are considered in light of their potential for integration into harmonized standards and adaptation to advance material requirements. The goal here is to emphasize the importance of automated tools to reduce manual labor in making (meta)data FAIR, enabling trusted data re‐use and fostering safer, more sustainable innovation of advanced materials. Awareness and prioritization of these challenges are critical for building robust data infrastructures.

Advanced Sustainable Systems
Biomax Informatics (Germany) (DE), University of Science and Technology of China (CN), Health Effects Institute (US), Federal Institute For Materials Research and Testing (DE), Netherlands Organisation for Applied Scientific Research (NL), University of Ljubljana (SI), University of Salzburg (AT), Aarhus University (DK), Hellenic Military Academy (GR), Istituto Superiore di Sanità (IT), European Commission (BE), Federal Institute for Risk Assessment (DE), Forum of European National Highway Research Laboratories (BE), Karolinska Institutet (SE), Maastricht University (NL), University of Gdańsk (PL), Korea Institute of Toxicology (KR), Larnaca College (CY), National Institute for Public Health and the Environment (NL), Institute of Science and Technology for Ceramics (IT), Luxembourg Institute of Science and Technology (LU), Leitat Technological Center (ES), National Research Centre for the Working Environment (DK), Hospital de Cruces (ES), NovaMechanics (Cyprus) (CY), Institute for Ethnic Studies (SI), Agricultural University Plovdiv (BG), IDEAconsult (BG), Ospedale San Giuseppe (IT), Western Norway University of Applied Sciences (NO), Business Innovation Center (Bulgaria) (BG), Plovdiv University (BG), Infraestruturas de Portugal (Portugal) (PT), University of Bergen (NO), University of Aveiro (PT), University of Birmingham (GB), Korea University of Science and Technology (KR)
UK Research and Innovation, Ministry of Trade, Industry and Energy, Korea Institute for Advancement of Technology, Norges Forskningsråd, HORIZON EUROPE Framework Programme, Medical Research Council, Fundação para a Ciência e a Tecnologia
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Research Data Management Practices
3.25
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