Paving the way for greater open science in sports and exercise medicine: navigating the barriers to adopting open and accessible data practices
Br J Sports Med
.
2024 Mar 13;58(6):293-295.
doi: 10.1136/bjsports-2023-107225.
Authors
Garrett S Bullock
1
2
,
Patrick Ward
3
,
Stefan Kluzek
4
,
Tom Hughes
5
,
Ellen Shanley
6
7
,
Amelia Joanna Hanford Arundale
8
,
Craig Ranson
9
,
Sophia Nimphius
10
,
Richard D Riley
11
,
Gary S Collins
12
,
Franco M Impellizzeri
13
Affiliations
1
Orthopaedic Surgery & Rehabilitation, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA garrettbullock@gmail.com.
2
Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
3
Seattle Seahawks, Renton, Washington, USA.
4
Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
5
Department of Health Professions, Manchester Metropolitan University, Manchester, UK.
6
Clinical Excellence, ATI Physical Therapy, Greer, South Carolina, USA.
7
Arnold School of Public Health, University of South Carolina System, Columbia, South Carolina, USA.
8
Physiotherapy, Red Bull Athlete Performance Center, Thalgau, Austria.
9
UK Sports Institute, Manchester, UK.
10
School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia.
11
Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
12
Centre for Statistics in Medicine, Oxford University, Oxford, UK.
13
School of Sport, Exercise, and Rehabilitation, University of Technology Sydney, Broadway, New South Wales, Australia.
PMID:
38135463
DOI:
10.1136/bjsports-2023-107225
No abstract available
Keywords:
data science.
Publication types
Editorial
MeSH terms
Exercise
Humans
Medicine*
Sports*