Table of Contents
Data, Volume 4, Issue 2 (June 2019)
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Cover Story (view full-size image) The daily production of clinical and biomedical research data can help enable data-driven [...] Read more. The daily production of clinical and biomedical research data can help enable data-driven healthcare through novel biomedical discoveries, improved diagnostics processes, epidemiology, and education. Finding and gaining access to these data and relevant metadata to achieve these goals, however, remains a challenge. These data sources are often geographically distributed, have diverse characteristics, and are controlled by a host of logistical and legal factors that require appropriate governance and access control guarantees. The primary desirable dataset properties are, thus, that the data should be findable, accessible, interoperable, and reusable (FAIR). In the proposed research work, we introduce and describe an abstract framework Data integration and indexing System (DiiS) that models these ideal goals and could be a step toward supporting data driven research. View this paper