Big Data and Data-Driven Research in Sports
A special issue of Data (ISSN 2306-5729).
Deadline for manuscript submissions: 30 April 2026 | Viewed by 1105
Special Issue Editor
Interests: big data; sports performance; physiology; technologies; physical education; individual sports; team sports; health
Special Issue Information
Dear Colleagues,
The use of big data via the use of various techniques and strategies has evolved in recent years, yielding numerous advantages in the sports field. Its use has led to the development of research and measures that target athletes: performance measurement, physiological and biomechanical enhancements, tactical and strategic improvements in team sports, and many more. New research and methodological improvements in these fields are being produced continuously.
This Special Issue aims to compile scientific evidence regarding the use of big data and decision making for the improvement of sports performance, athlete safety, and other sports-related areas.
In more detail, this Special Issue welcomes original research articles, dataset descriptors, communications, and systematic reviews. The scope of this Special Issue includes, but is not limited to, the following topics:
- Biomechanics;
- Physiology;
- Injury prevention;
- Tactics and strategies in team sports;
- Nutrition;
- New technology applied to big data.
Dr. Oliver Ramos Álvarez
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Data is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- big data
- performance
- analysis
- technology
- biomechanics
- physiology
- optimization
- team sports
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