iSynth Data services
Data & FAIRS
Last updated: October 11, 2026
FAIR serves people and computational systems and applies to data, algorithms, tools and workflows. iSynth retains the full scope of all four principles and uses S (Synergistic) to express its goals for collaboration across platforms.
F · Findable
Assign globally unique, persistent identifiers to data and metadata. Describe data with rich, machine-readable metadata that explicitly identifies the data, and index these resources so people and computational systems can discover them.
A · Accessible
Retrieve data and metadata by identifier through standard communication protocols that are open, free and widely implementable, with authentication and authorization where needed. Metadata should remain accessible when the data are no longer available.
I · Interoperable
Use formal, accessible, shared and broadly applicable knowledge representation languages and FAIR vocabularies, with semantically qualified links, so systems can accurately interpret, exchange, connect and integrate data.
R · Reusable
Provide rich, accurate and relevant descriptions, clear and accessible usage licenses, detailed provenance and domain community standards to support suitability assessment, research verification and reuse across research settings.
S · Synergistic
Use MCP interactions to let AI agents retrieve and contribute reaction data, providing a data foundation for scientific reasoning and experiment planning. Future integration with automated experiment execution and result feedback aims to connect data, agents and experimental systems in autonomous laboratory research loops.