Finding data is a necessary precursor to being able to reuse data, although relatively little large-scale empirical evidence exists about how researchers discover, make sense of and (re)use data for research. This study presents evidence from the largest known survey investigating how researchers discover and use data that they do not create themselves. We examine the data needs and discovery strategies of respondents, propose a typology for data reuse and probe the role of social interactions and literature search in data discovery. We consider how data communities can be conceptualized according to data uses and propose practical applications of our findings for designers of data discovery systems and repositories. Specifically, we consider how to design for a diversity of practices, how communities of use can serve as an entry point for design and the role of metadata in supporting both sensemaking and social interactions.

中文翻译：

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丢失还是找到？发现研究所需的数据

寻找数据是能够重用数据的必要前提，尽管关于研究人员如何发现、理解和（重用）研究数据的大规模经验证据相对较少。这项研究提供了最大的已知调查的证据，该调查调查了研究人员如何发现和使用并非他们自己创建的数据。我们检查受访者的数据需求和发现策略，提出数据重用的类型，并探讨社交互动和文献搜索在数据发现中的作用。我们考虑如何根据数据使用来概念化数据社区，并为数据发现系统和存储库的设计者提出我们发现的实际应用。具体来说，我们考虑如何针对多种实践进行设计，