Data and Code Sharing Roundtable

Hosted by The Information Society Project at Yale Law School, on November 21, 2009.
Sponsored by the Ewing Marion Kauffman Foundation.

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  Rationale

  Attendees

  Agenda

  References and Readings

  Contributed Thought PIeces

  Output Statement

Contributed Thought Pieces

 

Participants in the Roundtable were asked to submit a short thought piece on reproducibility prior to the meeting. Here are the submissions.

  • Reproducible research and genome scale biology: approaches in Bioconductor, Vincent Carey and Robert Gentleman,
  • Open Science and Verifiability, Dan Gezelter,
  • How Deep to Go, How Soon, in Data and Code Sharing?, Alyssa Goodman,
  • Dissemination and Management of Computational Science Software, Matt Knepley,
  • Remote Access to Micro-data: Transparency in Building Evidence-based Policy, Julia Lane,
  • Thoughts for the Roundtable on Data and Code Sharing in the Computational Science, Randy LeVeque,
  • Transforming the Computational Sciences to Achieve Reproducible Research, Ian Mitchell and Michael Friedlander,
  • Comments on Bringing Innovation into the U.S. Economic Accounts, E.J. Reedy,
  • Incentives not to Share, Josh Rolnick,
  • Thoughts on the sharing of data and research materials, and the role of journal policies, Hilary Spencer,
  • Data and Code Sharing in Computational Science: Two Thoughts, Ramesh Subramanian,
  • Reflections on Computation in Scientific Research: Reproducibility, Lock-in, and Deductive Systems, Victoria Stodden,
  • View Source, Chris Wiggins.

    Victoria Stodden
    Yale Law School
    http://www.stodden.net