Coding, Coding Set, and Policy Overview: Policy Document Analysis Data for the PhD Thesis "More than trees"

The researchers conducted a policy document analysis (PDA) to identify how policy document intend to govern anthropogenic capitals in the co-production of nature's contributions to people (NCP). They used a four step approach to identify policies. First, they checked the scientific literature for references to relevant documents. Second, they conducted an online search in databases of relevant institutions. Third, they assessed which Natura 2000 sites were located in their case study sites and plots to find relevant Natura 2000 management plans. Fourth, they interviewed 37 forest managers and 13 conservationists and asked them about policy documents relevant for their work. In total the researchers identified 96 policy documents from different policy fields. Of these 76 met their selection criteria of referring to governance of anthropogenic capitals in nature's contributions to people co-production in forests. The research group coded these policy documents using a deductive coding scheme. The data set consists of the coding set, the coding and a full list of the 76 documents.

研究人员开展了政策文献分析（PDA），以明确在自然对人类的贡献（NCP）的共同生产过程中，政策文件拟如何对人为资本（anthropogenic capitals）实施治理。他们采用四步法筛选政策文件：第一步，检索科学文献中相关文件的引用记录；第二步，在相关机构的数据库中开展在线检索；第三步，梳理案例研究区域与样地内的Natura 2000站点，以获取对应的Natura 2000管理计划；第四步，访谈37名森林管理者与13名保护工作者，询问其工作中涉及的相关政策文件。最终研究人员共识别出来自不同政策领域的96份政策文件，其中76份符合其入选标准，即涉及森林生态系统中自然对人类的贡献共同生产过程里的人为资本治理。研究团队采用演绎编码方案对这76份政策文件进行编码。本数据集包含编码集、编码结果以及全部76份文件的完整清单。