Reproducibility and Reusability best practices is important to making your work impactful. By ensuring that your research can be replicated and built upon, you contribute to the integrity and advancement of the field. These practices not only foster trust and collaboration but also empower others to leverage your work for new breakthroughs. We recommend that MIDAS members adhere to these principles and provide reference documentation in this section.

Reproducibility and Reusability are considered vital aspects of modern science. Achieving these goals requires a variety of measures, including community best practices, data models, and terminologies, designed to provide a common basis for integrating and comparing datasets and analytic methods.

View the guidelines.

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.

View the recommendations.

All research proposals submitted to the NIH are now subject to the 2023 NIH Data Management and Sharing policy.  The policy encourages data sharing and requires the submission of a Data Management and Sharing Plan.  NIH applicants must have a firm understanding of the new policy.

MIDAS Member Helenmary Sheridan prepared a webinar explaining the new policy and makes recommendations for the MIDAS network.

View the webinar.