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Related Experiment Video

Updated: May 28, 2026

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

Data and code (Un)availability in sports meta-analysis studies.

P T Axel Wolff1, Kristin L Sainani2, David N Borg3

  • 1Stanford University, Department of Epidemiology and Population Health, 300 Pasteur Dr, Stanford, CA 94305, USA; United States Army Research Institute of Environmental Medicine, 10 General Green Ave, Natick, MA 01760, USA.

Annals of Epidemiology
|May 26, 2026
PubMed
Summary
This summary is machine-generated.

Data and code sharing in sports meta-analyses is limited, even with journal mandates. Enhanced transparency and policy enforcement are crucial for improving research reproducibility and scientific integrity.

Keywords:
Data sharingMeta-analysisResearch integritySports medicineSystematic reviews

Related Experiment Videos

Last Updated: May 28, 2026

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

Area of Science:

  • Sports Science
  • Biostatistics
  • Research Methodology

Background:

  • Meta-analyses are critical for synthesizing evidence in sports science.
  • Data and code sharing are essential for research transparency and reproducibility.
  • Journal policies increasingly mandate data and code availability statements.

Purpose of the Study:

  • To estimate the prevalence of data and code availability and sharing practices in meta-analyses.
  • To assess these practices in highly-ranked sports journals.

Main Methods:

  • A systematic search of MEDLINE identified 228 meta-analyses.
  • 157 studies were randomly selected for assessment of availability statements and sharing outcomes.
  • Authors were contacted to ascertain sharing practices.

Main Results:

  • Only 34% of studies had a data availability statement and 13% had a code statement.
  • Overall data sharing was 33% and code sharing was 11%, with lower rates of public sharing before author contact.
  • Open-access articles demonstrated significantly higher data (53%) and code (22%) sharing compared to non-open-access articles.

Conclusions:

  • Actual meta-analysis data and code sharing remains limited despite existing journal mandates.
  • There is a clear need for enhanced journal policy enforcement.
  • Standardized transparency practices are essential to improve the reproducibility of sports science research.