Victoria Stodden
 |
Victoria Stodden | |
|---|---|
| Alma mater | University of Ottawa University of British Columbia Stanford University |
| Known for | Reproducible Research Standard |
| Scientific career | |
| Fields | Statistics |
| Institutions | University of Illinois |
| Doctoral advisor | David Donoho |
Victoria Stodden is a statistician, associate professor of information sciences, and affiliate professor of statistics at the University of Illinois at Urbana–Champaign. She earned a B.A. in economics from the University of Ottawa, an MS in economics from the University of British Columbia, and both her law degree and a Ph.D. in statistics from Stanford University.
Work
[edit]Stodden's work focuses on facilitating the reproducibility of research, specifically in computational sciences.[1] She is the founder of "Reproducible Research Standard" and the website ResearchCompendia.org, which was announced in 2015 to enable public verification of research and methods but went defunct in 2016.[2][3][4] In 2020, Stodden proposed a set of guidelines for researchers working in data science, including the role of reproducible research.[5]
Her current focus lies in scientific research incentives, having said: "A big part of the work I am doing concerns the scientific reward structure. For example, my work on the Reproducible Research Standard is an effort to realign the intellectual property rules scientists are subject to, to be closer to our scientific norms."[6]
Board membership
[edit]Stodden is a co-chair for the National Science Foundation's Advisory Committee for CyberInfrastructure. She also serves on the Committee on Electronic Information and Communication of the International Mathematical Union and the Advisory Board for Project TIER (Teaching Integrity in Empirical Research).[7]
Publications
[edit]- "Four Simple Recommendations to Encourage Best Practices in Research Software," Jiminez et al., F1000Research 2017, 6:876 (doi: 10.12688/f1000research.11407.1), June 13, 2017.
- "Fostering Integrity in Research" Committee Members, National Academies Report, April 11, 2017.
- Privacy, Big Data, and the Public Good: Frameworks for Engagement, Lane, J., Stodden, V., Bender, S., and Nissenbaum, H. (eds). 2014.
- "Reproducibility and replicability of rodent phenotyping in preclinical studies," Kafkafi et al, bioarxiv, 2016.
- "Facilitating Reproducibility in Scientific Computing: Principles and Practice," David H. Bailey, Jonathan M. Borwein and Victoria Stodden, in Harald Atmanspacher and Sabine Maasen, eds, Reproducibility: Principles, Problems, Practices, John Wiley and Sons, New York, 2016.
References
[edit]- ^ Heckel, Jodi. "Access to big data is crucial for credibility of computational research findings, says U. of I. library and information science professor". news.illinois.edu. Retrieved 2020-08-17.
- ^ "Victoria Stodden". ICSU-CoData. Retrieved 19 February 2018.
- ^ Stodden, Victoria, Sheila Miguez, and Jennifer Seiler. 2015. "ResearchCompendia.org: Cyberinfrastructure for Reproducibility and Collaboration in Computational Science." Computing in Science & Engineering 17 (1): 12–19. doi:10.1109/MCSE.2015.18
- ^ web archive of research compendia.org that shows the website is defunct since 2016
- ^ "Professor proposes guide for developing common data science approaches". techxplore.com. Retrieved 2020-08-17.
- ^ "Interview with Victoria Stodden". SimplyStats. Retrieved 19 February 2018.
- ^ "Associate Professor Victoria Stodden". University of Illinois. Retrieved 19 February 2018.
