DataONE:Notebook/ArticleCitationPractices/2010/07/08

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July 8 Knoxville Meeting Notes

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This DataONE OpenWetWare site contains informal notes for several research projects funded through DataONE. DataONE is a collaboration among many partner organizations, and is funded by the US National Science Foundation (NSF) under a Cooperative Agreement.

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meeting with heather

  • mondrian, many eyes, pentaho for data visualization
  • data sharing unit of analysis = article regression data shared vs. produced (score way and # sets too)
  • data reuse unit of analysis = dataset (multiple per article)
    • look at each data type seperately
  • explore each component of score in a regression (divide "ok") - 1. did they mention author?, 2. etc.
    • or maybe just y/n - good = author or accesssion (b/c citation is still useful); bad = depository only or not indicated
      • this means that YN depository could be factor beyond depository type --> do repository get more reuse than other reuses?
  • analysis types
    • regression- primarily ordinal (R Mass polr), some logistic
      • frank harold regression
    • clustering (do good/bad citations sepearate and by what factor)
  • factors: YN depository, Depository type, year, journal, funder,
  • journal breakdown report (separate manu/editorial/letter to the editor/blog/poster)
    • percent reuse
    • data types and depositories used
    • plus best practices suggestions
      • especially with the advent of new policies, should evaluate concerns brought up by this

Morning Breakout

  • Nic's data
    • Journal Fields of Interest
      • Data Management Plan YN
      • Date of Data Plan (management/sharing)--dates seem to be incorrecttis
      • Data Required
      • OA
      • Accession number required
      • Place of depository
    • Funders field of Interest
      • Funder of Journal Articles (Top Ten to 25 funders for my target journals)
      • Type
  • Overall advice
    • Column by column metadata
    • Google fusion tables
      • People can comment on data but not change it
      • Visualization capabilities
  • OWW discussion
    • Caveats on OWW and SS
      • credit
      • intentions, please be respectful of publication plans
      • undergoing QA/QC
      • link SS back to DataONE/OWW
  • we should make a list of what the plone is not doing
  • to try
    • Delicious
    • Connotea
    • CiteULike

Overall Wrapup

  • reminder about report: paragraph summary with headshot
  • reminder about midterm survey



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