Incorporating data provenance in a medical CSCW system

Authors:
Konrad Stark;Christian Koncilia;Jonas Schulte;Erich Schikuta;Johann Eder
Affiliations:
University of Vienna, Department of Knowledge and Business Engineering;Alps Adria University Klagenfurt, Department of Informatics Systems;University of Paderborn, Heinz Nixdorf Institute;University of Vienna, Department of Knowledge and Business Engineering;Alps Adria University Klagenfurt, Department of Informatics Systems
Venue:
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part I
Year:
2010

Citing 6
Cited 0

Chimera: AVirtual Data System for Representing, Querying, and Automating Data Derivation

SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
A Semantic Web Service Based Approach for Augmented Provenance

WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Incorporating Provenance in Service Oriented Architecture

NWESP '06 Proceedings of the International Conference on Next Generation Web Services Practices
Wasabi Framework An Open Service Infrastructure for Collaborative Work

SKG '07 Proceedings of the Third International Conference on Semantics, Knowledge and Grid
GATiB-CSCW, Medical Research Supported by a Service-Oriented Collaborative System

CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
Semantic metadata generation for large scientific workflows

ISWC'06 Proceedings of the 5th international conference on The Semantic Web

Quantified Score

Hi-index	0.00

Visualization

Abstract

Medical research is a highly collaborative process in an interdisciplinary environment that may be effectively supported by a Computer Supported Cooperative Work (CSCW) system. Research activities should be traceable in order to allow verification of results, repeatability of experiments and documentation as learning processes. Therefore, by recording the provenance of data together with the collaborative context it is embedded into, novel types of provenance queries may be answered. We designed and implemented a next-generation CSCW system providing both the collaborative functionalities as well as the definition and execution of structured processes. We integrated a data provenance model recording process- and collaboration-related operations automatically and demonstrate the capabilities of the model by answering specific data provenance queries from the biomedical domain.