Medical data transformation using rewriting

This paper presents a system for declaratively transforming medical subjects' data into a common data model representation. Our work is part of the "GAAIN" project on Alzheimer's disease data federation across multiple data providers. We present a general purpose data transformat...

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Bibliographic Details
Published inFrontiers in neuroinformatics Vol. 9; p. 1
Main Authors Ashish, Naveen, Toga, Arthur W.
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 20.02.2015
Frontiers Media S.A
Subjects
Alzheimer's disease
Alzheimer’s disease datasets
Collaboration
data integration
Data mapping
Data models
data sharing
Datasets
Knowledge management
Laboratories
Medical imaging
Neuroscience
Ontology
Query rewriting
Relational data bases
Software
United States > US
data mapping
data integration
Alzheimer's disease datasets
query rewriting
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Summary:This paper presents a system for declaratively transforming medical subjects' data into a common data model representation. Our work is part of the "GAAIN" project on Alzheimer's disease data federation across multiple data providers. We present a general purpose data transformation system that we have developed by leveraging the existing state-of-the-art in data integration and query rewriting. In this work we have further extended the current technology with new formalisms that facilitate expressing a broader range of data transformation tasks, plus new execution methodologies to ensure efficient data transformation for disease datasets.
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Edited by: Richard A. Baldock, Medical Research Council Human Genetics Unit, UK
Reviewed by: Natalya Kizilova, Kharkov National University, Ukraine; Albert Burger, Heriot-Watt University, UK
This article was submitted to the journal Frontiers in Neuroinformatics.
ISSN:1662-5196
1662-5196
DOI:10.3389/fninf.2015.00001