Data underling research article and appendices: Adaptive Governance in Practice: Towards Climate Resilient Water Management in Dutch Coastal Agriculture
DOI: 10.4121/8b272bdb-d3b4-43a3-b563-997d03c303ea
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Licence CC BY-ND 4.0
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Interview data and appendices for research article: Adaptive Governance in Practice: Towards Climate Resilient Water Management in Dutch Coastal Agriculture
The research objective of the article, and related data, is to understand the ways in which key factors of adaptive governance may influence sustainable change; and in which ways these tenets of adaptive governance materialize in the real world. The article is based on an interpretative research design, aimed at qualitive understanding of the topic. The data (interviews), function as a way to uncover the experiences of stakeholders working in and around the field of study. After obtaining the interview data, it was synthesized and subsequently summarized to be used in analysis, which involved stages of skimming, reading and interpreting the interview data. During this stage, the information and data were organized into categories that are connected to the main research question, facilitating the emergence of themes and meanings pertaining to the research goals. Following this, data analysis was done using the qualitative data analysis software Atlas.Ti. Firstly, an inductive approach was undertaken by identifying and setting-aside codes within the dataset as we examined it. The reason for this choice is so that a ‘blank slate’ type strategy could be applied, less uninfluenced by theory. Subsequently, another round of interpreting the codes and central statements was done, connecting them to adaptive governance theory in order to better contextualize them for the purpose of this research paper.
History
- 2025-07-02 first online, published, posted
Publisher
4TU.ResearchDataFormat
.docxFunding
- AGRICOAST (grant code KICH1.LWV02.20.002) [more info...] Netherlands Organization for Scientific Research (NWO)
Organizations
TU Delft, Faculty of Technology, Policy and Management, Department of Multi-Actor Systems, Organisation & GovernanceDATA
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