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This paper describes the development of services and tools for scaling data curation services at the Qualitative Data Repository (QDR). Through a set of open-source tools, semi-automated workflows, and extensions to the Dataverse platform, our team has built services for curators to efficiently and effectively publish collections of qualitatively derived data. The contributions we seek to make in this paper are as follows:
1. We describe ‘human-in-the-loop’ curation and the tools that facilitate this model at QDR;
2. We provide an in-depth discussion of the design and implementation of these tools, including applications specific to the Dataverse software repository, as well as standalone archiving tools written in R; and
3. We highlight the role of providing a service layer for data discovery and accessibility of qualitative data.
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