Reproducibility guide for authors and reviewers publishing in the Journal of the American Statistical Association (JASA).
As of September 2021, all invited revisions to JASA (both Applications & Case Studies and Theory & Methods) for manuscripts whose initial submission was on or after September 1, 2021, must include code, data, and the workflow to reproduce the work presented. We encourage but do not require that initial submissions include the code, data, and workflow.
Submissions before September 2021 to JASA Applications & Case Studies (but not Theory & Methods) should have included these materials upon initial submission, but submission upon invited revision is acceptable.
These web pages provide guidance on reproducibility for authors and reviewers in JASA.
README.mdof the repository provide an overview of how to carry out the analyses presented in their manuscript.
reproducibility_materials.zip). Please use a clear directory/folder structure within the zip file to organize your reproducibility materials (perhaps mimicking the structure suggested in our template repository).
The JASA reproducibility award recognizes outstanding computational reproducibility efforts in the statistical field. It was established in 2023, with the inaugural winners recognized at the 2023 Joint Statistical Meetings (JSM). All manuscripts accepted into JASA in a calendar year are eligible for the award, which will be awarded at the JSM the following year.
While an associate editor may ask one of the reviewers to review a given manuscript for reproducibility, in most cases one of the JASA associate editors for reproducibility (AER) is asked to carry out this review (by selecting the generic ‘reviewer for reproducibility’ in the review system.
Various journals are now requiring or strongly encouraging authors to provide code and data to reproduce their work. In addition, many researchers have written guidance on best practices for reproducibility. These are just a few of the many resources you may find online.
Please contact the Associate Editors for Reproducibility at email@example.com with any questions about the guidelines for authors or for reviewers, or if you are interested in learning more about our reproducibility initiative.