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Encyclopedia of Database Systems pp 2916–2923Cite as

Provenance Standards

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Synonyms

PROV

Definition

PROV, the Provenance standard, is a family of specifications released in 2013 by the Provenance Working Group, as a contribution to the Semantic Web suite of technologies at the World Wide Web Consortium. The specifications define a data model along with a number of serializations for representing aspects of provenance. The term provenance, as understood in these specifications, refers to information about entities, activities, and people involved in producing a piece of data or thing, which can be used to form assessments about its quality, reliability, or trustworthiness (PROV-Overview [1]). The specifications include a combination of W3C Recommendation and Note documents. Recommendation documents include:

  1. (i)

    The main PROV data model specification (PROV-DM [2]), with an associated set of constraints and inference rules (PROV-CONSTRAINTS [3])

  2. (ii)

    An OWL ontology that allows a mapping of the data model to RDF (PROV-O [4])

  3. (iii)

    A notation for PROV with a...

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Recommended Reading

  1. Groth P, Moreau L. PROV-Overview: an overview of the PROV Family of Documents [Internet]. 2012. Available from: http://www.w3.org/TR/prov-overview/

  2. Moreau L, Missier P, Belhajjame K, B’Far R, Cheney J, Coppens S, et al. PROV-DM: the PROV Data Model [Internet]. In: Moreau L, Missier P, editors. 2012. Available from: http://www.w3.org/TR/prov-dm/

  3. Cheney J, Missier P, Moreau L. Constraints of the provenance data model [Internet]. 2012. Available from: http://www.w3.org/TR/prov-constraints/

  4. Lebo T, Sahoo S, McGuinness D, Belhajjame K, Cheney J, Corsar D, et al. PROV-O: the PROV ontology [Internet]. In: Lebo T, Sahoo S, McGuinness D, editors. 2012. Available from: http://www.w3.org/TR/prov-o/

  5. Moreau L, Missier P, Cheney J, Soiland-Reyes S. PROV-N: the provenance notation [Internet]. In: Moreau L, Missier P, editors. 2012. Available from: http://www.w3.org/TR/prov-n/

  6. Moreau L, Clifford B, Freire J, Futrelle J, Gil Y, Groth P, et al. The open provenance model – core specification (v1.1). Futur Gener Comput Syst Elsevier. 2011;7(21):743–56.

    Article  Google Scholar 

  7. Moreau L, Ludäscher B, Altintas I, Barga RS. The first provenance challenge. Concurr Comput Pract Exp [Internet]. 2008;20:409–18. Available from: http://www3.interscience.wiley.com/journal/116837632/abstract

  8. Gil Y, Miles S, Belhajjame K, Deus H, Garijo D, Klyne G, et al. PROV model primer [Internet]. In: Gil Y, Miles S, editors. 2012. Available from: http://www.w3.org/TR/prov-primer/

  9. Moreau L. The foundations for provenance on the web. Found Trends Web Sci [Internet]. Citeseer; 2009 [cited 2011 Oct 18];131. Available from: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.155.784&rep=rep1&type=pdf

  10. Moreau L, Groth P. Provenance: an introduction to PROV. Synth Lect Semant Web Theory Technol [Internet]. Morgan & Claypool Publishers; 2013 Sep 15 [cited 2014 Aug 25];3(4):10–129. Available from: http://www.morganclaypool.com/doi/abs/10.2200/S00528ED1V01Y201308WBE007

  11. Cheney J, Chiticariu L, Tan W-C. Provenance in databases: why, how, and where. Found Trends{\textregistered} Databases. 2009;1:379–474.

    Article  Google Scholar 

  12. Missier P, Belhajjame K, Cheney J. The W3C PROV family of specifications for modelling provenance metadata. In: Proceedings of the 16th International Conference on Extending Database Technology (Tutorial) [Internet]. 2013. Available from: http://www.edbt.org/Proceedings/2013-Genova/papers/edbt/a80-missier.pdf

  13. Bowers S. Scientific workflow, provenance, and data modeling challenges and approaches. J Data Semant [Internet]. 2012 Apr 11 [cited 2013 Jun 8];1(1):19–30. Available from: http://link.springer.com/10.1007/s13740-012-0004-y

  14. Missier P, Woodman S, Hiden H, Watson P. Provenance and data differencing for workflow reproducibility analysis. Concurr Comput Pract Exp [Internet]. 2013;n/a–n/a. Available from: http://dx.doi.org/10.1002/cpe.3035

  15. Peng R. Reproducible research in computational science. Science. 2011;334(6060):1226–127.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computing Science, Newcastle University, Newcastle upon Tyne, UK

    Paolo Missier

Authors
  1. Paolo Missier
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Correspondence to Paolo Missier .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. University of Utah, Salt Lake City, UT, USA

    Juliana Freire

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Missier, P. (2018). Provenance Standards. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_80749

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