DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles

DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles

Vast amounts of clinical and biomedical research data are produced daily. These data can help enable data driven healthcare through novel biomedical discoveries, improved diagnostics processes, epidemiology, and education. However, finding, and gaining access to these data and relevant metadata that...

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Bibliographic Details
Main Authors: Priya Deshpande, Alexander Rasin, Jacob Furst, Daniela Raicu, Sameer Antani
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Data
Subjects:
data integration
data indexing
medical domain datasets
challenges in data integration
electronic health records
medical ontology
FAIR principles
Online Access:https://www.mdpi.com/2306-5729/4/2/54

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