mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites.

Observed Findings

• mapMECFS portal was successfully developed using the CKAN open-source framework with metadata collection and smart search capabilities
• The portal supports domain-agnostic data integration across multiple research disciplines (immunology, metabolomics, gut microbiome, genomics, neurology)
• The portal was initially funded for three research centers and subsequently expanded to serve the global ME/CFS research community
• MapMECFS aggregates data from public repositories, peer-reviewed publications, and ME/CFS Research Network members with registration-based access
• The platform is designed with reduced barriers to sustainable data sharing and reusability for researchers worldwide

Inferred Conclusions

• Centralized data repositories reduce fragmentation and improve discoverability of ME/CFS research across biological disciplines
• Collaborative data sharing infrastructure is necessary to advance understanding of ME/CFS as a complex, multi-system disease
• Open-source frameworks can support disease-specific research communities in achieving sustainable, domain-agnostic data integration
• Future development incorporating systems biology and advanced data integration methods could further enhance biomarker discovery

Remaining Questions