Author ORCID Identifier
Ryan Elmore: 0000-0002-0092-4532
Benjamin Baumer: 0000-0002-3279-0516
Brian Macdonald: 0000-0003-4229-9752
Gregory Matthews: 0000-0002-8413-5097
Michael Schuckers: 0000-0002-4817-7089
Document Type
Article
Publication Date
8-26-2026
Publication Title
Journal of Statistics and Data Science in Sports
Abstract
This article introduces the Journal of Statistics and Data Science in Sports (JSDSS), a Diamond Open Access, peer-reviewed journal. The journal is founded on three core principles. First, our commitment to open access is absolute. Second, reproducibility is critical and fundamental to the journal. Third, we believe sport is a rich and underutilized laboratory for statistical and data science innovation. The aim of the Journal of Statistics and Data Science in Sports is to provide an outlet for original, rigorous, practical, state-of-the-art, reproducible, and peer-reviewed analysis of sports data as well as the data science tools (software, applications, data, etc.) that support those analyses. We define sports broadly to include any nondeterministic competition or game. Finally, we welcome submissions that analyze any aspect of sports data in appropriate and innovative ways.
Recommended Citation
Elmore, Ryan; Baumer, B.; Macdonald, Brian; Matthews, Gregory J.; and Schuckers, Michael E., "A Vision for the Future of Academic Publishing in Sports Analytics" (2026). Statistical and Data Sciences: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/sds_facpubs/89
Rights
Copyright (C) 2026 The Authors
Version
Version of Record
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Included in
Data Science Commons, Other Computer Sciences Commons, Statistics and Probability Commons