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 were

Where we are

Where we 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

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