Roxburgh, Nicholas, Stringer, Lindsay C. orcid.org/0000-0003-0017-1654, Evans, Andrew J. et al. (2 more authors) (2022) Wikis as collaborative knowledge management tools in socio-environmental modelling studies. Environmental Modelling and Software. 105538. ISSN 1364-8152
Abstract
The data requirements of many socio-environmental system (SES) modelling studies have increased substantially in recent years. This has made the already challenging task of data compilation, retrieval, and sharing progressively more difficult. Recognising the current lack of best practice for knowledge management in SES modelling studies, we propose using SES wikis as a means of addressing these challenges. Wikis have attributes that make them well suited to complex knowledge management tasks and their hierarchical, interconnected, algorithmic logic closely fits with the logic needed in SES model design. In this article, we describe how wikis can be used at each stage of the SES modelling cycle, and we discuss our experiences of putting the approach into practice. We conclude that while SES wikis can be time consuming to initially develop, they have the potential to significantly improve the quality, transparency, and efficiency of SES modelling projects.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Funding Information: This work was supported by funding from the German Federal Ministry of Education and Research ( BMBF-01LN1315A ) within the Junior Research Group POLISES, as well as the Economic and Social Research Council through the White Rose Social Sciences DTP ( ES/J500215/1 ). BM was furthermore supported by funding from the German Federal Ministry of Education and Research (BMBF) within the research project NamTip ( 01LC1821D ). Publisher Copyright: © 2022 |
Keywords: | Data management,Fieldwork,Knowledge reuse,Open data,Participatory research,Wiki |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Environment and Geography (York) The University of York > Faculty of Sciences (York) > Biology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 27 Apr 2023 08:30 |
Last Modified: | 16 Oct 2024 19:11 |
Published Version: | https://doi.org/10.1016/j.envsoft.2022.105538 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.envsoft.2022.105538 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:198659 |
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