DataONE: A data federation with provenance support

Yang Cao, Christopher Jones, Víctor Cuevas-Vicenttín, Matthew B. Jones, Bertram Ludäscher, Timothy McPhillips, Paolo Missier, Christopher R Schwalm, Peter Slaughter, Dave Vieglais, Lauren Walker, Yaxing Wei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

DataONE is a federated data network focusing on earth and environmental science data. We present the provenance and search features of DataONE by means of an example involving three earth scientists who interact through a DataONE Member Node. DataONE provenance systems enable reproducible research and facilitate proper attribution of scientific results transitively across generations of derived data products.

Original languageEnglish (US)
Title of host publicationProvenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings
PublisherSpringer Verlag
Pages230-234
Number of pages5
Volume9672
ISBN (Print)9783319405926
DOIs
StatePublished - 2016
Externally publishedYes
Event6th International Provenance and Annotation Workshop, IPAW 2016 - McLean, United States
Duration: Jun 7 2016Jun 8 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9672
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Provenance and Annotation Workshop, IPAW 2016
CountryUnited States
CityMcLean
Period6/7/166/8/16

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Cao, Y., Jones, C., Cuevas-Vicenttín, V., Jones, M. B., Ludäscher, B., McPhillips, T., Missier, P., Schwalm, C. R., Slaughter, P., Vieglais, D., Walker, L., & Wei, Y. (2016). DataONE: A data federation with provenance support. In Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings (Vol. 9672, pp. 230-234). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9672). Springer Verlag. https://doi.org/10.1007/978-3-319-40593-3_28