2025/10/22 by Lukas Hughes-Noehrer, M.J. Parkes, Hughes-Noehrer, Lukas +18
Computer Science · Decision Sciences · #Academic Publishing and Open Access #Computers and Society (cs.CY) #FOS: Computer and information sciences #Programming Languages (cs.PL) #Research Data Management Practices #Scientific Computing and Data Management
paper · pdf · doi:10.48550/arxiv.2510.19279
openalex publication_date 2025/10/22 · openalex created_date 2025/10/24 · openalex updated_date 2026/07/28
As computational analysis becomes increasingly more complex in health research, transparent sharing of analytical code is vital for reproducibility and trust. This practical guide, aligned to open science practices, outlines actionable recommendations for code sharing in healthcare research. Emphasising the FAIR (Findable, Accessible, Interoperable, Reusable) principles, the authors address common barriers and provide clear guidance to help make code more robust, reusable, and scrutinised as part of the scientific record. This supports better science and more reliable evidence for computationally-driven practice and helps to adhere to new standards and guidelines of codesharing mandated by publishers and funding bodies.