Purpose: Data discovery practices currently tend to be studied from the perspective of researchers or the perspective of support specialists. This separation is problematic, as it becomes easy for support specialists to build infrastructures and services based on perceptions of researchers' practices, rather than the practices themselves. This paper brings together and analyzes both perspectives to support the building of effective infrastructures and services for data discovery. Methods: This is a meta-synthesis of work the authors have conducted over the last six years investigating the data discovery practices of researchers from different disciplines, with a focus on the social sciences, and support specialists. We bring together and re-analyze data collected from in-depth interview studies with 6 support specialists in the field of social science in Germany, with 21 social scientists in Singapore, an interview with 10 researchers and 3 support specialists from multiple disciplines, a global survey with 1630 researchers and 47 support specialists from multiple disciplines, an observational study with 12 researchers from the field of social science and a use case analysis of 25 support specialists from multiple disciplines. Results: We found that there are many similarities in what researchers and support specialists want and think about data discovery, both in social sciences and in other disciplines. There are, however, some differences which we have identified, most notably the interconnection of data discovery with web search, literature search and social networks. Conclusion: We conclude by proposing recommendations for how different types of support work can address these points of difference to better support researchers' data discovery practices.

翻译：目的：当前数据发现实践往往从研究者视角或支持专家视角分别进行研究。这种分离存在问题，因为支持专家容易基于对研究者实践的认知而非实践本身来构建基础设施和服务。本文整合并分析两种视角，为构建有效的数据发现基础设施和服务提供支持。方法：本文是对作者过去六年跨学科研究工作的元综合，重点考察社会科学领域研究者与支持专家的数据发现实践。我们整合并重新分析了以下数据来源：对德国社会科学领域6位支持专家的深度访谈研究、对新加坡21位社会科学家的访谈、涉及10位多学科研究者和3位支持专家的访谈、面向全球1630位多学科研究者和47位支持专家的问卷调查、对12位社会科学研究者的观察研究，以及25位多学科支持专家的用例分析。结果：研究发现，在社会科学及其他学科中，研究者与支持专家在数据发现的期望和认知上存在诸多共性。但我们同时识别出若干差异，最显著的是数据发现与网络搜索、文献检索及社交网络的关联性。结论：我们最终提出建议，阐明各类支持工作如何针对这些差异点改进，以更好地支持研究者的数据发现实践。