• Honored to be appointed an affiliate scholar with Stanford Law School's Center for Internet and Society, Jan 6, 2015.



  • I was interviewed by David Levine about my research on software patents and science in his latest Hearsay Culture podcast (download mp3 directly here), Oct 2013.

  • Press Release from the Congressional Committee on Science, Space, and Technology, March 5, 2013. Subcommittee Discusses Benefits of Open Access to Research Data and Challenges in Implementation.
    Dr. Victoria Stodden described the broad value open data has in pushing American innovation and competitiveness. "Making research data and software conveniently available also has valuable corollary effects beyond validating the original associated published results. Other researchers can use them for new research, linking datasets and augmenting results in other areas, or applying the software and methods to new research applications. These powerful benefits will accelerate scientific discovery. Benefits can also accrue to private industry. Again, data and software availability permit business to apply these methods to their own research problems, link with their own datasets, and accelerate innovation and economic growth. American competitiveness can only be increased as we increase the integrity of our scholarly record, and as we make access to scientific innovations, data, and their implementation broadly available to other researchers and to industry."




  • The 2009 Yale Roundtable recommendations mentioned in Nature News: "Computational science: ...Error", Oct 13 2010.

  • Letter to the Editor, Cancer Letter,
    IOM Study A Much-Needed Step For "Omic" Research:
    To the Editor:
    The study of "omics" is a laudable and much-need step on the part of the IOM (The Cancer Letter, Oct. 22). I hope the committee chooses to include open verification of computational results in its proposed implementation of analytical validation.
    The majority of published computational research today has not been reproduced nor independently verified--in part because this is essentially impossible without access to the underlying data and code.
    Particularly when such research is to be the basis for clinical trials, it is important for the underlying methodologies that produced the results to be made openly available in sufficient detail to permit replication of the results. The consequences of not doing so can be dire, as we have just seen with the attempts to replicate the published computational results that engendered the now-suspended cancer clinical trials at Duke University.
    What is needed is the establishment of open repositories for associated data and code (if these repositories do not already exist) and version labeling that ties together specific instances of code, data, and results.
    This extra step of repository creation will permit the evaluation of the committee's recommended criteria for predictive models intended to form the basis for clinical trials, as well as the dissemination of the methodologies and data required for verification of the published results by the community.

    Victoria Stodden
    Assistant Professor
    Department of Statistics
    Columbia University

  • Seed Magazine blog, Science is Culture: Reproducible Research. Aug 31, 2010.

  • Reason Magazine, "Scenes from the Open Science Summit", July 30, 2010.

  • Singularity Hub, "Open Science Summit 2010 -- Thursday Review", July 30, 2010.

  • A Thinker to Watch: Victoria Stodden and the Future of Scientific Research by Hope Leman of the Pacific Northwest Chapter of the Medical Library Association, April 15, 2010.

  • Guest post with Chris Wiggins, "Data and Code Sharing Roundtable," on mloss.org, the maching learning open source software blog, January 26, 2010.

  • Quoted in "Keeping Computers from Ending Science's Reproducibility", Ars Technica, January 22, 2010.


  • ITConversations.org: Interviews with Innovators, "Reproducibility of Computational Science,"
  • September 30, 2009.
    Blurb: "If you're a writer, a musician, or an artist, you can use Creative Commons licenses to share your digital works. But how can scientists license their work for sharing? In this conversation, Victoria Stodden -- a fellow with Science Commons -- explains to host Jon Udell why scientific output is different and how Science Commons aims to help scientists share it freely."
    Download mp3.

  • I gave a talk at the 3rd IEEE/ACM International Conference on Information and Communication Technologies and Development, in Doha, Qatar, in April and appeared in the Qatar Tribune.