Tracing the lineage of view data in a warehousing environment
ACM Transactions on Database Systems (TODS)
Lineage retrieval for scientific data processing: a survey
ACM Computing Surveys (CSUR)
A survey of data provenance in e-science
ACM SIGMOD Record
Provenance management in curated databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Combinators for bidirectional tree transformations: A linguistic approach to the view-update problem
ACM Transactions on Programming Languages and Systems (TOPLAS) - Special issue on POPL 2005
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A formal model of dataflow repositories
DILS'07 Proceedings of the 4th international conference on Data integration in the life sciences
On the expressiveness of implicit provenance in query and update languages
ICDT'07 Proceedings of the 11th international conference on Database Theory
Bidirectional model transformations in QVT: semantic issues and open questions
MODELS'07 Proceedings of the 10th international conference on Model Driven Engineering Languages and Systems
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Scientific Workflows: Business as Usual?
BPM '09 Proceedings of the 7th International Conference on Business Process Management
The life and times of files and information: a study of desktop provenance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Provenance, or records of the origin, context, custody, derivation or other historical information about a (digital) object, has recently become an important research topic in a number of areas, particularly databases. However, there has been little interaction between researchers across subdisciplines of computer science working on related problems. This article reports on a workshop on Principles of Provenance held in Edinburgh, Scotland in November 2007, which facilitated interaction among researchers working on provenance in databases, security, information retrieval, Semantic Web, and software engineering settings, as well as developers and database administrators who are currently working with provenance in practice, or foresee the need to do so in the near future.