Frequent public uproar over forms of data science that rely on information about people demonstrates the challenges of defining and demonstrating trustworthy digital data research practices. This paper reviews problems of trustworthiness in what we term pervasive data research: scholarship that relies on the rich information generated about people through digital interaction. We highlight the entwined problems of participant unawareness of such research and the relationship of pervasive data research to corporate datafication and surveillance. We suggest a way forward by drawing from the history of a different methodological approach in which researchers have struggled with trustworthy practice: ethnography. To grapple with the colonial legacy of their methods, ethnographers have developed analytic lenses and researcher practices that foreground relations of awareness and power. These lenses are inspiring but also challenging for pervasive data research, given the flattening of contexts inherent in digital data collection. We propose ways that pervasive data researchers can incorporate reflection on awareness and power within their research to support the development of trustworthy data science.

公众对依赖于人的信息的数据科学形式的频繁骚动表明定义和证明可信的挑战数字数据研究实践。本文回顾了我们所说的普适数据研究中的可信度问题：学术研究依赖于通过数字交互产生的关于人们的丰富信息。我们强调了参与者对此类研究的不了解以及普遍数据研究与企业数据化和监视之间的相互交织的问题。我们从一种不同的方法论方法的历史中汲取了一条前进的道路，在这种方法论方法中，研究人员一直在努力实现可信赖的实践：民族志。为了应对他们的方法的殖民遗产，民族志学家开发了分析镜头和研究人员实践，以突出意识和权力的关系。这些镜头令人鼓舞，但对普遍的数据研究也具有挑战性，鉴于数字数据收集中固有的背景扁平化。我们提出了一些方法，让普遍的数据研究人员可以在他们的研究中结合对意识和力量的反思，以支持值得信赖的数据科学的发展。