Wikis as collaborative knowledge management tools in socio-environmental modelling studies

Nicholas Roxburgh; Lindsay C. Stringer; Andrew J. Evans; Tim G. Williams; Birgit Müller

doi:10.1016/j.envsoft.2022.105538

Wikis as collaborative knowledge management tools in socio-environmental modelling studies

Nicholas Roxburgh, Lindsay C. Stringer, Andrew J. Evans, Tim G. Williams, Birgit Müller

Environmental Geography

Research output: Contribution to Journal › Article › Academic › peer-review

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.

Original language	English
Article number	105538
Pages (from-to)	1-10
Number of pages	10
Journal	Environmental Modelling & Software
Volume	158
Early online date	26 Sept 2022
DOIs	https://doi.org/10.1016/j.envsoft.2022.105538
Publication status	Published - Dec 2022

Funding

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 ).

Funders	Funder number
UK Research and Innovation
Economic and Social Research Council	ES/J500215/1, 01LC1821D
Bundesministerium für Bildung und Forschung	BMBF-01LN1315A

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title = "Wikis as collaborative knowledge management tools in socio-environmental modelling studies",

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.",

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AU - Roxburgh, Nicholas

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AU - Williams, Tim G.

AU - Müller, Birgit

PY - 2022/12

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Wikis as collaborative knowledge management tools in socio-environmental modelling studies

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