Data underling research article and appendices: Adaptive Governance in Practice: Towards Climate Resilient Water Management in Dutch Coastal Agriculture

Interview data and appendices for research article: <em>Adaptive Governance in Practice: Towards Climate Resilient Water Management in Dutch Coastal Agriculture</em><br>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.

研究论文《实践中的适应性治理（Adaptive Governance）：迈向荷兰沿海农业（Dutch Coastal Agriculture）的气候韧性水管理（Climate Resilient Water Management）》的访谈数据与附录。本研究及相关数据的核心目标，在于明晰适应性治理的关键要素对可持续变革的影响路径，以及适应性治理的各项原则在现实场景中的具体落地形式。本文采用解释性研究设计（interpretative research design），旨在对该主题形成深度定性认知。本次研究所使用的访谈数据，用于揭示该研究领域内及周边利益相关方的实践经验。在获取访谈资料后，研究人员先对其进行综合整合与摘要提炼，以支撑后续分析工作：分析过程依次涵盖浏览、研读与解读访谈资料三个阶段。在此阶段，研究人员将相关信息与数据按照与核心研究问题相关的类别进行归类梳理，进而催生契合研究目标的核心主题与内涵。随后，研究团队借助定性数据分析软件Atlas.ti开展数据分析工作。首先采用归纳法（inductive approach）：在审阅数据集时，先识别并提取编码（codes）。此举旨在应用“白板”式研究策略，尽可能降低既有理论对研究的干扰。随后，研究人员对编码与核心表述开展第二轮解读，并将其与适应性治理理论相结合，以更好地结合本研究的研究目的对其进行情境化阐释。