Supporting data discovery: A meta-synthesis comparing perspectives of support specialists and researchers
Guangyuan Sun, Tanja Friedrich, Kathleen Gregory, Brigitte Mathiak

TL;DR
This meta-synthesis compares the perspectives of support specialists and researchers on data discovery, revealing similarities and differences, and offers recommendations to improve infrastructure and services for effective data discovery across disciplines.
Contribution
It uniquely combines multiple qualitative and quantitative studies to analyze both perspectives, informing better support infrastructure for data discovery.
Findings
Researchers and support specialists share similar views on data discovery.
Differences include the connection of data discovery with web search and social networks.
Recommendations for tailored support practices are proposed.
Abstract
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…
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Taxonomy
TopicsScientific Computing and Data Management · Research Data Management Practices · Data Visualization and Analytics
