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Miles Lincoln LIS590BIL
   Currently issues facing research in the
    sciences
     Peer review
     Data curation
     Publication
      ▪ Journal, open-source journal, institutional repository,
        pre-print repository
   Briefly—don’t want to bore you with this,
    that’s what the final project is for




    Where we         Where we        Where we
     were              are           want to be
   Peer review grants authority to knowledge
   Verifies that all aspects of research are sound




    Where we
     were
   We have seen the challenges of integrating
    new products of scientific research
     Datasets
     Code
     Blogs
     Wiki contributions
   We need to unify these things anyways
   Applying a new peer review process to these things
    could unify them + improve their usability
   Points out how broken it is:
     One study found reviewers missing most
      important errors—no way to resolve that in an
      opaque system
     There is a large inequity in the trade off between
      journal profit and faculty notoriety
   Peer review strained by the volume and type
    of knowledge we are feeding to it




                    Where we
                      are
   Solutions to old peer review (slow, opaque) lie
    in harnessing social networks

   Challenges to doing so:
     Redefining academic traditions to validate new
      forms of interaction
     Upkeep of an open source tool needs to be as
      rewarding as publishing in Nature
   Revamped peer review solves problem of
    traditional peer review AND…
     Problems of organization
     Data linkage
     Best practices



                                   Where we
                                   want to be
   Faculty of 1000 and myExperiment are
    admirable models for the future of
    bioinformatics-class peer review
   Neither one is the killer app
   Flexible, collaborative development of
    knowledge
   Has established rewards to encourage
    contribution
   Centralizes scientific knowledge and
    collaborators
   Promotes reuse, interdisciplinary
    collaboration
   What good is data that can only be used by a
    select few?
   It will be very important to visualize this data
    in order to make it accessible to an audience
   Linked knowledge
   Baseline required centralized identifiers
   Transparency and flexibility
   Collaborative
Disagree?
Join the conversation:
peerpressurebil.wordpress.com

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peer review as an extension of bioinformatics

  • 2. Currently issues facing research in the sciences  Peer review  Data curation  Publication ▪ Journal, open-source journal, institutional repository, pre-print repository
  • 3. Briefly—don’t want to bore you with this, that’s what the final project is for Where we Where we Where we were are want to be
  • 4. Peer review grants authority to knowledge  Verifies that all aspects of research are sound Where we were
  • 5. We have seen the challenges of integrating new products of scientific research  Datasets  Code  Blogs  Wiki contributions  We need to unify these things anyways  Applying a new peer review process to these things could unify them + improve their usability
  • 6. Points out how broken it is:  One study found reviewers missing most important errors—no way to resolve that in an opaque system  There is a large inequity in the trade off between journal profit and faculty notoriety
  • 7. Peer review strained by the volume and type of knowledge we are feeding to it Where we are
  • 8. Solutions to old peer review (slow, opaque) lie in harnessing social networks  Challenges to doing so:  Redefining academic traditions to validate new forms of interaction  Upkeep of an open source tool needs to be as rewarding as publishing in Nature
  • 9. Revamped peer review solves problem of traditional peer review AND…  Problems of organization  Data linkage  Best practices Where we want to be
  • 10. Faculty of 1000 and myExperiment are admirable models for the future of bioinformatics-class peer review  Neither one is the killer app
  • 11. Flexible, collaborative development of knowledge  Has established rewards to encourage contribution
  • 12. Centralizes scientific knowledge and collaborators  Promotes reuse, interdisciplinary collaboration
  • 13. What good is data that can only be used by a select few?  It will be very important to visualize this data in order to make it accessible to an audience
  • 14.
  • 15.
  • 16. Linked knowledge  Baseline required centralized identifiers  Transparency and flexibility  Collaborative