Cargando…
Multi-level network dataset of ten Swiss wetlands governance cases based on qualitative interviews and quantitative surveys
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...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356187/ https://www.ncbi.nlm.nih.gov/pubmed/35942075 http://dx.doi.org/10.1016/j.dib.2022.108401 |
_version_ | 1784763461616533504 |
---|---|
author | Huber, Martin Nicola Angst, Mario Fischer, Manuel |
author_facet | Huber, Martin Nicola Angst, Mario Fischer, Manuel |
author_sort | Huber, Martin Nicola |
collection | PubMed |
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). |
format | Online Article Text |
id | pubmed-9356187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-93561872022-08-07 Multi-level network dataset of ten Swiss wetlands governance cases based on qualitative interviews and quantitative surveys Huber, Martin Nicola Angst, Mario Fischer, Manuel Data Brief Data Article 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). Elsevier 2022-06-21 /pmc/articles/PMC9356187/ /pubmed/35942075 http://dx.doi.org/10.1016/j.dib.2022.108401 Text en © 2022 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Huber, Martin Nicola Angst, Mario Fischer, Manuel Multi-level network dataset of ten Swiss wetlands governance cases based on qualitative interviews and quantitative surveys |
title | Multi-level network dataset of ten Swiss wetlands governance cases based on qualitative interviews and quantitative surveys |
title_full | Multi-level network dataset of ten Swiss wetlands governance cases based on qualitative interviews and quantitative surveys |
title_fullStr | Multi-level network dataset of ten Swiss wetlands governance cases based on qualitative interviews and quantitative surveys |
title_full_unstemmed | Multi-level network dataset of ten Swiss wetlands governance cases based on qualitative interviews and quantitative surveys |
title_short | Multi-level network dataset of ten Swiss wetlands governance cases based on qualitative interviews and quantitative surveys |
title_sort | multi-level network dataset of ten swiss wetlands governance cases based on qualitative interviews and quantitative surveys |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356187/ https://www.ncbi.nlm.nih.gov/pubmed/35942075 http://dx.doi.org/10.1016/j.dib.2022.108401 |
work_keys_str_mv | AT hubermartinnicola multilevelnetworkdatasetoftenswisswetlandsgovernancecasesbasedonqualitativeinterviewsandquantitativesurveys AT angstmario multilevelnetworkdatasetoftenswisswetlandsgovernancecasesbasedonqualitativeinterviewsandquantitativesurveys AT fischermanuel multilevelnetworkdatasetoftenswisswetlandsgovernancecasesbasedonqualitativeinterviewsandquantitativesurveys |