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Software Application Profile: Opal and Mica: open-source software solutions for epidemiological data management,
Dany Doiron1,2,3, Yannick Marcon1, Isabel Fortier1
1Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
International Journal of Epidemiology
|October 13, 2017
Summary
Opal and Mica are open-source software solutions designed to improve epidemiological data sharing and interoperability. These tools facilitate data management, harmonization, and the creation of searchable metadata portals for enhanced health research.
Area of Science:
- Epidemiology
- Health Informatics
- Bioinformatics
Background:
- Effective dissemination of epidemiological study information and database interoperability are crucial for advancing health research.
- Existing challenges hinder the maximization of resources and the acceleration of health improvements.
Purpose of the Study:
- To introduce Opal and Mica, open-source software packages developed by Maelstrom Research.
- To provide solutions for epidemiological data management, harmonization, and dissemination.
Main Methods:
- Opal and Mica are standalone, interoperable web applications developed using Java, JavaScript, and PHP.
- They offer web services and modern user interfaces for data access and management.
- Opal facilitates data import, management, annotation, and harmonization.
Main Results:
- Mica enables the creation of searchable web portals for disseminating study and variable metadata.
- Conjoint use allows secure, real-time querying of geographically dispersed Opal data and retrieval of summary statistics.
- Integration with DataSHIELD supports complex federated analyses, including statistical modeling.
Conclusions:
- Opal and Mica offer robust, interoperable solutions for epidemiological data management and dissemination.
- These open-source tools enhance data accessibility and facilitate collaborative research.
- The software and associated metadata models are freely available, promoting wider adoption in health research.