Journal of Information Science
International Journal on Digital Libraries
Scholarship and disciplinary practices
Annual Review of Information Science and Technology
Analytic potential of data: assessing reuse value
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Units of evidence for analyzing subdisciplinary difference in data practice studies
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
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We present a general conceptual framework that maps relationships and dependencies among scientific data practices, types of data produced and used, and associated curation activities. As part of the Data Conservancy initiative, the framework is being elaborated through empirical studies of data practices in the earth sciences and life science and validated against use cases as curatorial services are developed around data being prepared for ingest into the repository. The framework can be applied more broadly for identifying and representing curation requirements and to support description and assessment of existing or planned curation infrastructure and services. It will support full accounts of the data products and workflows required to maintain the coherence and context of complex data collections.