Managing structural genomic workflows using web services
Data & Knowledge Engineering - Special issue: Biological data management
A Semantic Web Service Based Approach for Augmented Provenance
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Metadata management for integration and analysis of earth observation data
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
Components of an environmental observatory information system
Computers & Geosciences
Provenance security guarantee from origin up to now in the e-Science environment
Journal of Systems Architecture: the EUROMICRO Journal
On the use of semantic annotations for supporting provenance in grids
Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
SciQL: a query language for unified scientific data processing and management
Proceedings of the 5th Ph.D. workshop on Information and knowledge
A framework for scalable distributed provenance storage system
Computer Standards & Interfaces
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Scientific research relies as much on the dissemination and exchange of data sets as on thepublication of conclusions. Accurately tracking the lineage (origin and subsequent processing history) of scientific data sets is thus imperative for the complete documentation of scientific work. However, the lack of a definitive data model for lineage, and the poor fit between current data management tools and scientific software, effectively prevent researchers fromdetermining, preserving, or providing the lineage of the data products they use and create. Based on a comprehensive review of lineage-related research and previous prototype systems, a conceptual framework is presented to help identify and assess basic lineage system components. Within this framework, a direction is outlined for future work on general methods for composing and managing lineage for scientific data.