Guides to Good Practice

We strive to foster good practices for computational modeling and welcome your suggestions and feedback.

Organizations with similar missions include:

The Carpentries’ Good Enough Practices for Scientific Computing Lesson may be a useful starting point to learn good practices end-to-end.

Agent-based model development

  • Keep your models simple
  • Document your models using ODD or equivalent documentation protocol
  • Consider carefully how to evaluate and validate your model’s outputs. Plan for robust and thorough sensitivity and data analyses!
  • Structure your model into coherent modules where possible with well-defined inputs and outputs that use established community standard data formats.

Additional ABM Guides

Code management

Some of the code and data management practices listed below are also described in greater detail in Good Enough Practices in Scientific Computing by Wilson et al.

Data management

The Digital Research Alliance of Canada has exemplar Data Management Plans available on Zenodo and a Data Management Plan Assistant that can walk you through the creation of a high quality research data management plan.

Other principles to keep in mind:

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