Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1016/j.envsoft.2022.105538 |
Licence  |
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| Title (Primary) | Wikis as collaborative knowledge management tools in socio-environmental modelling studies |
| Author | Roxburgh, N.; Stringer, L.C.; Evans, A.J.; Williams, T.G.; Müller, B.
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| Source Titel | Environmental Modelling & Software |
| Year | 2022 |
| Department | OESA |
| Volume | 158 |
| Page From | art. 105538 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Keywords | Wiki; Participatory research; Fieldwork; Data management; Open data; Knowledge reuse |
| 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. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=26632 |
| Roxburgh, N., Stringer, L.C., Evans, A.J., Williams, T.G., Müller, B. (2022): Wikis as collaborative knowledge management tools in socio-environmental modelling studies Environ. Modell. Softw. 158 , art. 105538 10.1016/j.envsoft.2022.105538 |
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