Improving reproducibility of data analysis and code in medical research: 5 recommendations to get started.

ABSTRACT: Due to the growing use of high-dimensional data and methodological advances in medical research, reproducibility of research is increasingly dependent on the availability of reproducible code. However, code is rarely made available and too often only partly reproducible. Here, we aim to provide practical and easily implementable recommendations for medical researchers to improve the reproducibility of their code. We reviewed current coding practices in the population-based Rotterdam Study cohort. Based on this review, we formulated the following five recommendations to improve the reproducibility of code used in data analysis: (1) make reproducibility a priority and allocate time and resources; (2) implement systematic code review by peers, as it further strengthens reproducibility. We pro

SUBMITTER: Streiber AM 

PROVIDER: S-EPMC12496075 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature