The propensity for fisheries management agencies in the United States to collect or request stakeholder-based data has grown considerably in the last decade. While systems are in place for the review and use of biological data in management, there is far less structure to the integration of non-economic social data. Here, we present a framework for characterizing the applicability of various forms of social data in regulatory processes, documents, and decisions. The social data landscape is presented as a simple framework for understanding the temporal, spatial, and impact scope of policy actions and how different kinds of social data can inform an array of action types and play important roles in management. We conclude with recommendations for practitioners and managers who seek to incorporate different types of stakeholder input into their processes and provide researchers with guidelines when weighing the trade-offs of unique methodologies.

中文翻译：

---

将基于利益相关者的数据整合到海洋渔业决策中的指导原则，重点是美国渔业管理

在过去十年中，美国渔业管理机构收集或请求基于利益相关者的数据的倾向显着增加。虽然在管理中审查和使用生物数据的系统已经到位，但整合非经济社会数据的结构要少得多。在这里，我们提出了一个框架，用于描述各种形式的社会数据在监管流程、文件和决策中的适用性。社交数据格局被呈现为一个简单的框架，用于理解政策行动的时间、空间和影响范围，以及不同类型的社会数据如何为一系列行动类型提供信息并在管理中发挥重要作用。最后，我们为寻求将不同类型的利益相关者输入纳入其流程的从业者和管理人员提出建议，并在权衡独特方法的权衡时为研究人员提供指导。