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A template wizard for the cocreation of machine-readable data-reporting to harmonize the evaluation of (nano)materials

  • Nina Jeliazkova
  • , Eleonora Longhin
  • , Naouale El Yamani
  • , Elise Rundén-Pran
  • , Elisa Moschini
  • , Tommaso Serchi
  • , Ivana Vinković Vrček
  • , Michael J. Burgum
  • , Shareen H. Doak
  • , Mihaela Roxana Cimpan
  • , Ivan Rios-Mondragon
  • , Emil Cimpan
  • , Chiara L. Battistelli
  • , Cecilia Bossa
  • , Rositsa Tsekovska
  • , Damjana Drobne
  • , Sara Novak
  • , Neža Repar
  • , Ammar Ammar
  • , Penny Nymark
  • Veronica Di Battista, Anita Sosnowska, Tomasz Puzyn, Nikolay Kochev, Luchesar Iliev, Vedrin Jeliazkov, Katie Reilly, Iseult Lynch, Martine Bakker, Camila Delpivo, Araceli Sánchez Jiménez, Ana Sofia Fonseca, Nicolas Manier, María Luisa Fernandez-Cruz, Shahzad Rashid, Egon Willighagen, Margarita D Apostolova, Maria Dusinska*
*Corresponding author for this work
  • IdeaConsult Ltd
  • Norwegian Institute for Air Research
  • Luxembourg Institute of Science and Technology
  • Institute for Medical Research and Occupational Health
  • Swansea University
  • University of Bergen
  • Western Norway University of Applied Sciences
  • Istituto Superiore di Sanita
  • Bulgarian Academy of Sciences
  • University of Ljubljana
  • Maastricht University
  • Karolinska Institutet
  • University of Gdańsk
  • University of Plovdiv "Paisii Hilendarski"
  • University of Birmingham
  • National Institute of Public Health and the Environment
  • LEITAT Technological Center
  • Spanish National Institute of Health and Safety
  • National Research Centre for the Working Environment
  • Institut national de l'environnement industriel et des risques
  • Consejo Superior de Investigaciones Científicas
  • Institute of Occupational Medicine

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Making research data findable, accessible, interoperable and reusable (FAIR) is typically hampered by a lack of skills in technical aspects of data management by data generators and a lack of resources. We developed a Template Wizard for researchers to easily create templates suitable for consistently capturing data and metadata from their experiments. The templates are easy to use and enable the compilation of machine-readable metadata to accompany data generation and align them to existing community standards and databases, such as eNanoMapper, streamlining the adoption of the FAIR principles. These templates are citable objects and are available as online tools. The Template Wizard is designed to be user friendly and facilitates using and reusing existing templates for new projects or project extensions. The wizard is accompanied by an online template validator, which allows self-evaluation of the template (to ensure mapping to the data schema and machine readability of the captured data) and transformation by an open-source parser into machine-readable formats, compliant with the FAIR principles. The templates are based on extensive collective experience in nanosafety data collection and include over 60 harmonized data entry templates for physicochemical characterization and hazard assessment (cell viability, genotoxicity, environmental organism dose-response tests, omics), as well as exposure and release studies. The templates are generalizable across fields and have already been extended and adapted for microplastics and advanced materials research. The harmonized templates improve the reliability of interlaboratory comparisons, data reuse and meta-analyses and can facilitate the safety evaluation and regulation process for (nano) materials.
Original languageEnglish
JournalNature Protocols
Volume19
Pages (from-to)2642-2684
Number of pages43
ISSN1750-2799
DOIs
Publication statusPublished - 2024

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