Improve your code management skills: join the Code Verification Competition Ensure your code’s reproducibility & win a prize

Revisiting your data analysis after months of feedback from supervisors and journal reviewers can be overwhelming. Finding the right code version, locating the correct dataset, or re-running scripts often leads to frustration. If this sounds familiar, you’re not alone! Join our Code Verification Competition by following our guidelines to submit your code for reproduction. Enhance your code management skills—and have a chance to win a €100 voucher!

If you can confidently reproduce your code at any time, fantastic! Submit your code for replication to put your skills to the test and compete for the €100 voucher.

Why you should join

Mastering reproducibility is a critical skill that not only strengthens the credibility of your work but also enhances collaboration and long-term impact. By joining the competition, you can

• Enhance the reproducibility of your research.
• Learn best practices for code and data management.
• Facilitate faster growth of your research field.
• Strengthen your preparation for funding applications.

Competition details

All submissions will be evaluated by a panel of experts. Assessment will be based on replication success, code, and documentation quality. The top 10 winners will each receive a €100 voucher if there are at least 15 submissions, with winners announced at the Code Management Workshop in mid-May.

PhD candidates, postdoctoral researchers, and professors at UT are invited to submit their data, code, and outputs. No restrictions on programming languages.

Submission Guidelines

• Your submission should aim to replicate a research output from your published paper, pre-print or an ongoing research project. This output could be an image or analysis result. To ensure reproducibility, please:
• If you want to reproduce publication or pre-prints, provide the link of the document with the results that will be reproduced  (e.g. a DOI).
• Place data, code, and outputs in the root directory. If the dataset is too large, share it via a repository.
• Include a README file with installation and usage instructions, along with an estimated running time.
• Specify the environment and dependencies (e.g., .yml or similar).
• Host the submission on GitHub and share the repository with us.

Tips

• To improve your chances, ask a friend or colleague to test your code before submitting.
• You can find a mini example of a submission in the repository. Additionally, use this checklist of reusable code to enhance your chances of success.
• Verify reproducibility using code-auditor.

Evaluation Criteria

Submissions will be assessed by a committee based on:

• Replication success, considering computational complexity
• Code structure and documentation quality, ensuring clarity and usability

How to Participate

Interested? Send an email to m.li-2@utwente.nl by April 20, 2025, with:

• The DOI of your document or a brief description of your paper/project
• A link to your code and data

Of course, if you have any questions beforehand, you can send an email as well.

Join us to future-proof your code and promote transparent, reproducible science!