ResearchObjectCitation

From Earth Science Information Partners (ESIP)
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This cluster is a merging of the data citation and software citation clusters to take on the broad challenge of general research object citation. How do we provide a reference that enables both access and credit to any given research object (data, software, article, instrument, sample, workflow, etc.)?

News

  • news
  • Latest News 1
  • Latest News 2


Archive

Activities

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Get Involved

  • Email List: esip-citationguidelines
  • Next meeting:
    • Monthly on the third Thursday of the month at 12:00 Eastern Time (starting 21 March 2019).
  • Contact Chair:
    • Mark Parsons <parsom3@rpi.edu>

Resources

References

  • McMurray, J. L. et al., Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data, PLOS Biology, June 29, 2017, https://doi.org/10.1371/journal.pbio.2001414