Data and code archiving in British Ecological Society journals: Current status and recommendations for improvement
By
Natalie Cooper
Summary
This article examines the current state of data- and code-archiving practices in British Ecological Society journals. It discusses how archiving research data and code is essential for transparency, reproducibility, and credibility in ecology and evolution research. While progress has been made in implementing archiving policies, the article identifies ongoing issues and provides recommendations for future improvements to ensure archived materials meet good practice standards and are genuinely useful for future researchers.
Source

Key quotes
· 3 pulledData- and code-archiving are important components of open science, as both make research more transparent, reproducible, accountable and credible, allowing future researchers to build on previous work.
Despite progress in implementing data- and code-archiving policies in journals publishing ecology and evolution research, issues remain.
To be more useful to future researchers, archived data and code must not only be archived but also meet good practice standards.
You might also wanna read
Building Software for Biological Systems: When Code Meets Rot and Fermentation
The article explores the challenges of designing software for systems involving biological processes like fermentation and food preservation
Researchers repeatedly leak UK Biobank participant health data on public GitHub repositories
UK Biobank, which holds genetic and health data on 500,000 British volunteers, has been repeatedly finding that researchers accidentally upl
Lessons from Data Friction: How S3 Files Evolved to Solve Large-Scale Data Transfer Challenges
Andy Warfield shares insights from his experience with data friction challenges, particularly from working with genomics researchers at UBC
Learning Software Architecture: Advice for Scientist Programmers
A response to a researcher physicist asking about learning software design skills. The author shares insights from their experience in a bio
ERA: A tree-search-based scientific coding tool for computational discovery
ERA (Empirical Research Assistance) is a versatile tool for scientific coding that can search scientific literature, write code, explore sol
research.google·1mo agoEnvironmental Impact of AI Coding Agents: Beyond Average Query Metrics
The article examines the environmental impact of AI coding agents like Claude Code, contrasting them with typical AI chatbot queries. While
simonpcouch.com·5mo ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.