Data

Anonymised dataset and analysis code for limb symmetry index and injury risk in professional female soccer players

The University of Queensland
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/c984537&rft.title=Anonymised dataset and analysis code for limb symmetry index and injury risk in professional female soccer players&rft.identifier=RDM ID: 9afe8cd0-0af5-4b22-af01-f0f5134a1dbf&rft.publisher=The University of Queensland&rft.description=This repository includes an anonymised research dataset and accompanying statistical code supporting a study investigating the association between lower-limb asymmetry and injury-related outcomes in elite female football (soccer) players. The dataset comprises performance-based measures (e.g., limb symmetry indices), injury surveillance data, and selected demographic and athlete characteristics. All data have been de-identified in accordance with ethical and institutional requirements. The repository also includes documented analysis scripts used to clean, manage, and analyse the data, enabling transparency and reproducibility of the reported findings.&rft.creator=Anonymous&rft.date=2026&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Sports science and exercise&rft_subject=HEALTH SCIENCES&rft.type=dataset&rft.language=English Access the data

Contact Information

[email protected]
School of Health and Rehabilitation Sciences

Full description

This repository includes an anonymised research dataset and accompanying statistical code supporting a study investigating the association between lower-limb asymmetry and injury-related outcomes in elite female football (soccer) players. The dataset comprises performance-based measures (e.g., limb symmetry indices), injury surveillance data, and selected demographic and athlete characteristics. All data have been de-identified in accordance with ethical and institutional requirements. The repository also includes documented analysis scripts used to clean, manage, and analyse the data, enabling transparency and reproducibility of the reported findings.

Issued: 2026

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Identifiers
ACN 633 798 857