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Implementing code review in the scientific workflow: Insights from ecology and evolutionary biology
Edward R Ivimey-Cook1, Joel L Pick2, Kevin R Bairos-Novak3
1School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK.
Journal of Evolutionary Biology
|October 9, 2023
Summary
Code review enhances research reliability and reproducibility. This guide introduces effective code review practices for ecology and evolutionary biology, promoting transparency and open science.
Area of Science:
- Ecology and evolutionary biology research
- Scientific software development
Background:
- Code review is standard in computer science for ensuring software quality.
- Its absence in ecology and evolutionary biology leads to coding errors, reduced reproducibility, and unreliability.
- This gap hinders the scientific integrity of published findings.
Purpose of the Study:
- To provide a guide for implementing effective code review in ecology and evolutionary biology.
- To address the lack of code review practices in these fields.
- To promote more open, reliable, and transparent scientific research.
Main Methods:
- Detailed commentary on effective code review techniques.
- Guidance on project setup to facilitate code review.
- Exploration of implementation strategies at various research stages.
Main Results:
- A practical framework for integrating code review into ecological and evolutionary biology research.
- Strategies for enhancing code quality and research reproducibility.
- Establishment of principles for more transparent scientific workflows.
Conclusions:
- Adoption of code review principles will significantly improve the reliability and reproducibility of research in ecology and evolutionary biology.
- Implementing code review fosters a more open and transparent scientific community.
- This guide serves as a foundational resource for researchers new to code review.
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