As part of the MIDAS Coordination Center’s efforts to bring increased reproducibility and FAIR (Findable, Accessible, Reusable, and Interoperable)1 data principles to infectious disease modeling research, we have developed this series of recommendations for sharing of relevant software and data artifacts.
Our hope is that these recommendations will provide greater transparency and clarity to disease modeling efforts, both in terms of community methods and supporting communication with the public and policy-makers. When possible, these efforts should align with accepted and emerging community best-practices, such as the EPIFORGE 2020 guidelines for reporting epidemic forecasting and prediction research2 and emerging information models.3
These proposed guidelines have been developed by the MIDAS Coordination Center. In the interest of improving the clarity and utility of these suggestions, we’re interested in any feedback or comments that you might have. Please use the comment form below to let us know what you think.
This set of recommendations is a living document. We will continue to improve it based on community feedback. If you have any comments, please leave them below.
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