Authors:
Ajinkya Prabhune
1
;
Rainer Stotzka
1
;
Michael Gertz
2
;
Lei Zheng
2
and
Jürgen Hesser
2
Affiliations:
1
Karlsruhe Institute of Technology, Germany
;
2
Heidelberg University, Germany
Keyword(s):
Scientific Data Repository, ProvONE Provenance Standard, Open Annotation Data Model, DICOM Dataset, Angioscopy Workflow, Metadata Management.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Healthcare Management Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Software Systems in Medicine
;
Web Information Systems and Technologies
Abstract:
In this paper, we present a novel data repository architecture that is capable of handling the complex image
processing workflows and its associated provenance for clinical image data. This novel system has unique and
outstanding properties versus existing systems. Among the most relevant features are a flexible and intuitively
usable data and metadata management that includes the use of a graph-based provenance management strategy
based on a standard provenance model. Annotation is supported to allow for flexible text descriptors as being
widespread found for clinical data when structured templates are not yet available. The architecture presented
here is based on a modern database and management concepts and allows to overcome the limitations of
current systems namely limited provenance support, lacking flexibility, and extensibility to novel requests. To
demonstrate the practical applicability of our architecture, we consider a use case of automated image data
processing workflow
for identifying vascular lesions in the lower extremities, and describe the provenance
graph generated for this workflow. Although presented for image data, the proposed concept applies to more
general context of arbitrary clinical data and could serve as an additional service to existing clinical IT systems.
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