MIDAS was conceived as an association of investigators from various disciplines who would develop computational models to study infectious disease emergence, spread, control, containment, and evolution. Although the primary way to participate in MIDAS is through receiving an NIH consortium agreement grant, there may be special opportunities to share knowledge, expertise, and resources more extensively. The conditions for establishing an Associated Project were approved by the MIDAS Steering Committee on May 20, 2005.
A Principal Investigator may join MIDAS as an associate when all of the following conditions are met:
The applying associate investigator prepares a proposal for consideration by the Steering Committee. The proposal must contain
The Steering Committee may convene by teleconference to consider applications. At least ½ of the voting members of the committee must approve the proposal in order for it to be designated an Associate Project. The Steering Committee may recommend modifications of the agreement.
If the proposal is approved, the sponsoring MIDAS principal investigator will notify the associate project investigator.
The MIDAS Network will generate virtual and collected data and mathematical and computational tools. Grantees should plan on sharing theoretical and experimental findings with other members of the MIDAS Network at annual MIDAS meetings and at scientific meetings. Results and models will be made available through the MIDAS Database. The final data release policy will be established by the MIDAS Steering Committee. Because of the potential benefits of MIDAS to the larger research and public health community, NIGMS will enforce a policy for timely release of data, which will be implemented in consultation with the MIDAS Steering Committee. The data release policy proposed for the MIDASNetwork will be subject to future modifications, to comply with evolving NIH guidelines. The data release policy for the MIDAS Network will be stated clearly on the Network's Web site. NIGMS expects that users of the released data will appropriately acknowledge their source. All data should be made publicly available no later than the submission for publication. The release of information on host-pathogen interactions, disease transmission, diagnosis, surveillance, forecasting, and control, and antimicrobial treatments for emerging infectious diseases should follow NIH guidelines. Because information on strategies for response preparedness, which include advanced planning and crisis planning, may involve issues of national security, some parts of the MIDAS Database may contain confidential or secure data, models, and tools.
This page last reviewed on
11/18/2014 1:04 PM
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