Maund, PR, Bentley, JW, Austen, GE et al. (4 more authors) (2022) The features and processes underpinning high-quality data generation in participatory research and engagement activities. Methods in Ecology and Evolution, 13 (1). pp. 68-76. ISSN 2041-210X
Abstract
Participatory approaches are widely used by researchers to gather data and insight about how the environment is perceived, valued and used. The participatory activities may be creating information as part of curiosity-driven blue-skies research or to inform policy/practise decision-making.
The quality and usability of data derived from participatory approaches are heavily influenced by how activities are conducted. We share a set of features and processes that underpin the generation of high-quality data, based on our collective experience of developing and undertaking participatory activities with an environmental and conservation focus.
We propose four general features: (a) Depth and breadth of engagement; (b) robustness of the approach; (c) allowing space for surprises; (d) usability across contexts. We also provide a practical toolbox of processes, and associated facilitation techniques, which can be employed to maximise participant engagement and generate quality data.
The features and processes are a practical guide for project leaders/teams to consider in the context of their work, rather than a set of inflexible rules. They should be relevant regardless of the participatory methods used, or the research, policy or practice setting being addressed.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | conservation; environment; interdisciplinary; policy; practice; qualitative; social science; transdisciplinary |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Sustainability Research Institute (SRI) (Leeds) |
Funding Information: | Funder Grant number EU - European Union 726104 |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Nov 2021 14:52 |
Last Modified: | 19 Jul 2022 10:25 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1111/2041-210x.13746 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:180029 |