Searchable collection of curated datasets and software resources for infectious disease modeling, filterable by disease, topic, location, and time period.
Browse and explore the catalog directly in your browser. Search by keyword, filter by disease or location, and view detailed metadata for each entry.
All of the metadata for the catalog entries in the MIDAS Catalog are accessible via the MIDAS Catalog API. This REST API is intended for use by developers that want to use the catalog entry metadata in their own software.
A comprehensive JSON-LD metadata framework. This architecture supports 9 distinct resource types, integrates 14+ metadata standards, and provides machine-readable structured data that enhances discoverability through Google Dataset Search and other aggregators.
Public health datasets curated, standardized, or maintained by the MIDAS community and partners.
A centralized worldwide archive of official public health data from public health agencies, ministries of health, and other governmental websites. The archive contains case, death, hospitalization, demographics, and vaccination information at country and, when possible, at lower administrative levels, collected daily or weekly for each disease of interest.
Global repository of standardized public health data, including case counts for 78 notifiable conditions across the US and dengue data for 100 countries, formatted to meet FAIR guidelines for interoperability and reuse.
A community effort designed to produce medium and longer-term scenario projections to guide pandemic and epidemic response. These scenarios are designed in association with decision makers to address areas of uncertainty in public health decision-making.
Interactive tools for exploring MIDAS network research, collaborations, and publication trends.
A graphical search interface for exploring the world of the MIDAS network. You can use MIDAS Discover to find information about researchers working on topics of interest, understand networks of collaborations, learn about their papers and grants, and understand the breadth and depth of research in the MIDAS network.
Explore how research themes across MIDAS publications have evolved over time. Documents are grouped into themes based on terms they contain and displayed as flowing ribbons showing each theme's prevalence across years.
Guidelines, standards, and tools to help the infectious disease modeling community achieve greater reproducibility and reusability through FAIR data practices.
An overview of community best practices, data models, and terminologies designed to provide a common basis for integrating and comparing datasets and analytic methods.
A formal ontology for describing datasets, software, and other digital objects in the MIDAS Catalog, covering biological scale, artifact type, and infectious disease modeling topics.
Practical recommendations for describing and sharing datasets and code with clear metadata on origin, scope, contents, and licensing to encourage reuse.
Guidance for infectious disease researchers on complying with NIH data sharing requirements and preparing data management and sharing plans.
Tips for Writing an NIH Data Management & Sharing Plan for Computational Modeling.
Webinar and other resources discussing the new NIH data management and sharing policies.
MIDAS invites members to share their data and code through the new MIDAS Network community in the Zenodo data repository.