peer review as an extension of bioinformatics
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peer review as an extension of bioinformatics






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    peer review as an extension of bioinformatics peer review as an extension of bioinformatics Presentation Transcript

    • 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