Mazumdar, S. orcid.org/0000-0002-0748-7638, Maikore, F. orcid.org/0000-0001-8294-5283, Lanfranchi, V. orcid.org/0000-0003-3148-2535 et al. (7 more authors) (2025) An online collaborative approach to developing ontologies to study questions about behaviour. Knowledge, 5 (4). 26. ISSN: 2673-9585
Abstract
Almost all societal grand challenges, whether concerning the environment, health, well-being, or the development of sustainable economic models, have at their heart a need to understand people’s behaviour. However, uniting data and insights across disparate fields requires an explicit and shared understanding of concepts, variables, and ideas (e.g., how to characterise and differentiate behaviours). Ontologies provide a mechanism for creating this explicit and shared understanding and are starting to be developed and used in the social and behavioural sciences. This paper proposes an online co-design approach to use and develop ontologies of behaviour to specify the characteristics of behaviour (e.g., habitual, changeable, effortless) and studies that investigate behaviour as part of a project designed to understand how behaviours are related. We report on our experience of collaborative co-development of ontologies using real-time interactive tools and reflect on the benefits and challenges of our approach. We also offer a set of recommendations for researchers interested in applying such methods to co-develop ontologies. The work contributes to efforts to understand the characteristics of behaviour and enable these to be used to understand questions about behaviour (e.g., is poor sleep associated with greater engagement in habitual behaviours?).
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2025 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| Keywords: | online co-design; ontology development; Miro boards; behaviour |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | ?? Sheffield.IJC ?? The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
| Date Deposited: | 01 Dec 2025 15:18 |
| Last Modified: | 01 Dec 2025 15:18 |
| Status: | Published |
| Publisher: | MDPI AG |
| Refereed: | Yes |
| Identification Number: | 10.3390/knowledge5040026 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:235010 |
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Filename: knowledge-05-00026.pdf
Licence: CC-BY 4.0

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