Evaluating Data-Sharing Policies and Author Compliance in Leading Orthopaedic Journals

Abstract

BACKGROUND: Orthopaedic surgery is a critical field, impacting global health-care expenditure and patient outcomes. Despite substantial research funding, issues of transparency and reproducibility persist, undermining the credibility of published in-print findings. Data-sharing initiatives aim to address these challenges by promoting accessibility and enhancing research reliability. We aimed to assess the landscape of data-sharing practices within the field of orthopaedic surgery, focusing on the top orthopaedic journals from 2020 to 2023. METHODS: Original research articles from 10 of the top orthopaedic journals were screened and analyzed for data-sharing statements (DSSs). Furthermore, we identified variables that were influential on the inclusion of DSSs in orthopaedic clinical studies, and thematically analyzed DSS content to identify prevalent themes. Lastly, corresponding authors were contacted to assess their willingness to share their data. RESULTS: Of the 1,084 reviewed articles, only 14% included a DSS. The Journal of Bone & Joint Surgery demonstrated the highest proportion of articles with a DSS. Over time, clinical trials exhibited an increasing trend in DSS adoption, contrasting with consistently low rates among cohort studies. Thematic analysis identified the gatekeeper role and conditional data availability as predominant themes in orthopaedic DSSs. Of the 115 emails sent to corresponding authors, only 22 (19.1%) yielded responses, and of those who responded, only 12 (54.5%) expressed a willingness to share their data. CONCLUSIONS: Our findings underscore a substantial disparity in data-sharing practices across orthopaedic journals, highlighting the need for standardization and mandates for DSSs. Adopting the Transparency and Openness Promotion (TOP) Guidelines can enhance accountability and foster a culture of open science within the field. By addressing these shortcomings, orthopaedic journals can improve research reproducibility and advance scientific knowledge effectively.

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