The Group Open Source Policy mandates that all data and code related to simulation runs and data analysis must be published on our group’s GitHub page to ensure transparency and reproducibility. Just think about if you are the one reading a particular paper, and ask yourself the degree of effort that would be required to reproduce all the results (including figures and tables) with the available information published in the paper.

This includes:

• Data Publication: Useful raw and processed data generated during research activities must be made publicly available. This ensures that other researchers can verify results and build upon the work. Some examples of data include:
  • Simulation input files
  • Julia code (or written in any other languages) for data analysis
• Code Publication: Any code used for simulations, data analysis, or any other computational work must be shared. This includes scripts, algorithms, and software configurations necessary to reproduce the results.
• Documentation: Comprehensive documentation must accompany the published data and code. This includes detailed descriptions of the models and procedures used in the research to enable others to understand and replicate the work.

By adhering to these norms, our group promotes open science practices, fostering collaboration and enhancing the credibility and impact of its research outputs.

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Create a GitHub account and ask Dr. Inaolaji to add you as a member to the group’s GitHub page.

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