Advances in open data, big data and data linkage allow us to analyse more data and on a larger scale than ever before. However, this brings with it the challenge of ensuring that Indigenous data sets are used in a way that protects Indigenous rights to that data and maximises benefits for Indigenous peoples. The CARE principles for Indigenous data governance—Collective Benefit, Authority to Control, Responsibility and Ethics—were developed to protect Indigenous data sovereignty, but there are few examples of how to translate these principles into practice. In this paper, we show how these CARE principles can be applied to data collection, integration, analysis and translation practices. Our case study is a project that used data reported by Indigenous ranger groups to capture the multiple benefits of Indigenous land and water management activities. Through this case study, we offer a framework for the design and use of CARE-informed data practices, which can be embedded into project design to enable the ethical and responsible use of Indigenous data to improve Indigenous policies and services. Such practices are critical in the context of ongoing demand for Indigenous data for bureaucratic purposes, and Indigenous interest in using that data to influence management and policy decisions affecting their estates and resources.

开放数据、大数据和数据链接的进步使我们能够分析比以往更多的数据和更大的规模。然而，这带来了确保以保护土著人对该数据的权利并最大限度地为土著人民带来利益的方式使用土著数据集的挑战。土著数据治理的 CARE 原则——集体利益、控制权、责任和道德——是为了保护土著数据主权而制定的，但关于如何将这些原则转化为实践的例子很少。在本文中，我们展示了如何将这些 CARE 原则应用于数据收集、集成、分析和翻译实践。我们的案例研究是一个项目，该项目使用土著护林员团体报告的数据来获取土著土地和水资源管理活动的多重效益。通过此案例研究，我们为 CARE 知情数据实践的设计和使用提供了一个框架，该框架可以嵌入到项目设计中，以实现对土著数据的道德和负责任的使用，以改进土著政策和服务。在出于官僚目的对土著数据的持续需求以及土著有兴趣使用这些数据来影响影响其财产和资源的管理和政策决策的背景下，这种做法至关重要。