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  3. Multi-level network dataset of ten Swiss wetlands governance cases based on qualitative interviews and quantitative surveys.
 

Multi-level network dataset of ten Swiss wetlands governance cases based on qualitative interviews and quantitative surveys.

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BORIS DOI
10.48350/171850
Publisher DOI
10.1016/j.dib.2022.108401
PubMed ID
35942075
Description
The dataset of this paper originated from quantitative online surveys and qualitative expert interviews with organizational actors relevant to the governance of ten Swiss wetlands from 2019 till 2021. Multi-level networks represent the wetlands governance for each of the ten cases. The collaboration networks of actors form the first level of the multi-level networks and are connected to multiple other network levels that account for the social and ecological systems those actors are active in. 521 actors relevant to the management of the ten wetlands are included in the collaboration networks; quantitative survey data exists for 71% of them. A unique feature of the collaboration networks is that it differentiates between positive and negative forms of collaboration specified based on actors' activity areas. Therefore, the data describes not only if actors collaborate but also how and where actors collaborate. Further additional two-mode networks (actor participation in forums and involvement in other regions outside the case area) are elicited in the survey and connected to the collaboration network. Finally, the dataset also contains data on ecological system interdependencies in the form of conceptual maps derived from 34 expert interviews (3-4 experts per case).
Date of Publication
2022-08
Publication Type
Article
Subject(s)
300 Social sciences, sociology & anthropology > 320 Political science
Keyword(s)
Collaboration network Comparative case study Conceptual maps Social-ecological systems (SES)
Language(s)
en
Contributor(s)
Huber, Martin Nicola
Institut für Politikwissenschaft (IPW)
Angst, Mario
Fischer, Manuelorcid-logo
Institut für Politikwissenschaft (IPW)
Additional Credits
Institut für Politikwissenschaft (IPW)
Series
Data in brief
Publisher
Elsevier
ISSN
2352-3409
Access(Rights)
open.access
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