https://orcid.org/0000-0003-0051-3239Citations (6)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (2)
Anthony Underwood, Aidan Sichel & Emily C. Marshall. (2023) Teaching Reproducible Methods in Economics at Liberal Arts Colleges: A Survey. Journal of Statistics and Data Science Education 0:0, pages 1-7.
Read now
Read now
John Towse, Rob Davies, Ellie Ball, Rebecca James, Ben Gooding & Matthew Ivory. (2022) LUSTRE: An Online Data Management and Student Project Resource. Journal of Statistics and Data Science Education 30:3, pages 266-273.
Read now
Read now
Articles from other publishers (4)
Anton Sugolov, Eric Emmenegger, Andrew D. Paterson & Lei Sun. (2023) Statistical Learning of Large-Scale Genetic Data: How to Run a Genome-Wide Association Study of Gene-Expression Data Using the 1000 Genomes Project Data. Statistics in Biosciences.
Crossref
Crossref
Thomas Cokelaer, Sarah Cohen-Boulakia & Frédéric Lemoine. (2023) Reprohackathons: promoting reproducibility in bioinformatics through training. Bioinformatics 39:Supplement_1, pages i11-i20.
Crossref
Crossref
Fraida Fund. (2023) We Need More Reproducibility Content Across the Computer Science Curriculum. We Need More Reproducibility Content Across the Computer Science Curriculum.
D. Buscombe & E. B. Goldstein. (2022) A Reproducible and Reusable Pipeline for Segmentation of Geoscientific Imagery. Earth and Space Science 9:9.
Crossref
Crossref