Stodden to serve on NISO Reproducibility Badging and Definitions working group 

Associate Professor Victoria Stodden has been selected to serve on the Reproducibility Badging and Definitions Working Group for the National Information Standards Organization (NISO). NISO is a U.S. nonprofit association that develops, maintains, and publishes technical standards to facilitate the creation, management, and interchange of information so that it can be trusted for use in research and teaching.

A leading figure in the area of reproducibility in computational science, Stodden will contribute her expertise in defining different notions of reproducibility and understanding how these can be recognized in the scholarly record. According to the NISO website:

As publishers and researchers are placing greater emphasis on the practice of reproducibility as an essential ingredient of the scientific research process, it is critical to make compatible the taxonomies used to define the various levels of reproducibility and to agree on a standardized badging scheme that can be applied in the publishing process. This project will forge agreement and move toward a common vocabulary, focusing on standardization across the Computational and Computing Sciences.

The working group will make its recommendations to NISO in November 2019.

Stodden's research addresses a wide range of topics, including standards of openness for data and code sharing, legal and policy barriers to disseminating reproducible research, robustness in replicated findings, cyberinfrastructure to enable reproducibility, and scientific publishing practices. She is a member of the National Academy of Sciences (NAS) Committee on Reproducibility and Replicability in Science, the NAS Roundtable on Data Science Postsecondary Education, and a Member-at-Large of the Statistics section (Section U) of The American Association for the Advancement of Science (AAAS).

In addition to her appointment at the iSchool, Stodden holds faculty affiliate appointments in the National Center for Supercomputing Applications (NCSA), Coordinated Science Lab, College of Law, Department of Statistics, and Department of Computer Science. Stodden earned both her PhD in statistics and her law degree from Stanford University.

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