Resources

Here are links to resources relating to open and reproducible research in and around Oxford. Feel free to get in touch to suggest additions.

• Catalogue of Bias — a collaborative project mapping the biases that affect health evidence and beyond.
• Codebar Oxford — free programming workshops aimed at making the tech community more diverse.
• Data Readiness and FAIRness — a research group based at the Department of Engineering Science working on data transparency, reproducibility, and scholarly publishing. The group develops and maintains FAIRsharing, an educational resource on data and metadata standards (for sharing and reporting) inter-related to repositories, knowledge bases, and data policies.
• EQUATOR Network — an international initiative based in Oxford that seeks to improve the reliability and value of published health research by promoting transparent reporting and the wider use of robust guidelines.
• IT Learning Centre — offers a wide range of Digital Skills courses for staff and students.
• NC3Rs — the UK’s National Centre for the Replacement, Refinement and Reduction of Animals in Research, with an Oxford hub providing courses and resources on robust experimental design.
• Open Access Oxford — publishes guidance on open access at Oxford, including Oxford Open Scholarship case studies.
• The Oxford local group of the Royal Statistical Society — runs regular talks and lectures on statistical topics that are open to academics and non-academics alike.
• Oxford Research Software Engineering (OxRSE) — provides professional software support for research projects as well as free training and bookable software surgeries.
• Research Data Oxford — the University’s official policy hub for research data management.
• Research Support — outlines principles for the responsible use of research metrics in line with Oxford’s support for DORA, and provides a Research Integrity: Introductory Core Course for all disciplines.
• UKRN Open Research Primers — brief, practical introductions to making research more transparent, robust, and accessible.