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Partnering With Authors to Enhance Reproducibility at JASA.

Authors :
Wrobel, Julia
Hector, Emily C.
Crawford, Lorin
McGowan, Lucy D'Agostino
da Silva, Natalia
Goldsmith, Jeff
Hicks, Stephanie
Kane, Michael
Lee, Youjin
Mayrink, Vinicius
Paciorek, Christopher J.
Usher, Therri
Wolfson, Julian
Source :
Journal of the American Statistical Association. Jun2024, Vol. 119 Issue 546, p795-797. 3p.
Publication Year :
2024

Abstract

The article discusses the reproducibility initiative at the Journal of the American Statistical Association (JASA). The initiative aims to address the lack of standardized practices for reproducibility in scientific research. It establishes minimum criteria for the inclusion of code, data, and workflow in research manuscripts and has implemented a new editorial role, the Associate Editor of Reproducibility (AER), to enforce these standards. The article explains the type of reproducibility being addressed, describes the steps of the review process, and provides guidelines for authors to streamline their reproducibility materials. The JASA reproducibility initiative is part of a larger movement in the scientific community to address the replicability crisis in science. The article emphasizes the importance of reproducibility in statistics to support the validity of research and foster transparency and accountability. It also addresses common questions and misconceptions about the reproducibility review process at JASA. The article concludes by encouraging wider discussions and the adoption of common standards for reproducibility in statistical journals. [Extracted from the article]

Details

Language :
English
ISSN :
01621459
Volume :
119
Issue :
546
Database :
Academic Search Index
Journal :
Journal of the American Statistical Association
Publication Type :
Academic Journal
Accession number :
178134086
Full Text :
https://doi.org/10.1080/01621459.2024.2340557