The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Provenance and scientific workflows: challenges and opportunities
Abstract
Provenance in the context of workflows, both for the data they derive and for their specification, is an essential component to allow for result reproducibility, sharing, and knowledge re-use in the scientific community. Several workshops have been held on the topic, and it has been the focus of many research projects and prototype systems. This tutorial provides an overview of research issues in provenance for scientific workflows, with a focus on recent literature and technology in this area. It is aimed at a general database research audience and at people who work with scientific data and workflows. We will (1) provide a general overview of scientific workflows, (2) describe research on provenance for scientific workflows and show in detail how provenance is supported in existing systems; (3) discuss emerging applications that are enabled by provenance; and (4) outline open problems and new directions for database-related research.
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Cites
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Scientific workflow management and the Kepler system
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Cited by
Information Security in Big Data: Privacy and Data Mining
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A survey on provenance: What for? What form? What from?
Herschel, M., Diestelkämper, R., & Ben Lahmar, H. (2017) · The VLDB Journal · doi:10.1007/s00778-017-0486-1 · Cited by 300
Willett, W., Jansen, Y., & Dragicevic, P. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2016.2598608 · Cited by 267
The Foundations for Provenance on the Web
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ReproZip: Computational Reproducibility With Ease
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Self-citation
Metadata
- Authors
- Davidson, S. B., & Freire, J.
- Venue
- Proceedings of the 2008 ACM SIGMOD international conference on Management of data
- Publisher
- ACM
- Published
- 2008-06-09
- Pages
- 1345-1350
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W1988545508
- Cited by
- 468
- References
- 59
- FWCI
- 50.67
- Type
- conference paper
- Language
- en
- Open access
- closed
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