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When use cases are not useful: Data practices, astronomy, and digital libraries

Abstract

As science becomes more dependent upon digital data, the need for data curation and for data digital libraries becomes more urgent. Questions remain about what researchers consider to be their data, their criteria for selecting and trusting data, and their orientation to data challenges. This paper reports findings from the first 18 months of research on astronomy data practices from the Data Conservancy. Initial findings suggest that issues for data production, use, preservation, and sharing revolve around factors that rarely are accommodated in use cases for digital library system design including trust in data, funding structures, communication channels, and perceptions of scientific value.

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