Speaker
Description
Development of processes and workflows throughout the data lifecycle, guided by FAIR principles, significantly enhances data assets value, accelerates research processes, increases the data basis for AI applications and potentially leads to novel research questions across sectors. Critical services —repositories, analysis tools, and related infrastructure—must seamlessly interpret and process data across diverse software environments and domains. The FAIR Digital Objects (FDO) concept addresses this interoperability challenge by integrating essential and rich metadata with data assets references and persistent identifiers into unified, machine-actionable packages, putting "data first".
This presentation showcases the initial results from FDO Connect, an active project within the MISSION KI initiative - National Initiative for Artificial Intelligence and Data Economy. The FDO Connect consortium develops and deploys services that enable seamless creation, storage, and reuse of data assets as FDOs. Our presentation details the FDO architecture derived from the FDO Forum (FDOF) specifications and demonstrates its capabilities through concrete use cases. This architectural approach achieves domain-independent FDO implementation through its distinctive design. The system supports dual creation pathways: handles via the type registry and nanopublications that transcend scientific domain boundaries. These parallel implementations expose the distinctive advantages of each technology stack across domains and existing data spaces. This dual-pathway strategy directly informs guidelines, quality assessment protocols, and validation tools for the emerging FDO landscape.
MISSION KI is funded by the former Federal Ministry for Digital and Transport until the end of 2025 and implemented by acatech - National Academy of Science and Engineering.
| Language | English |
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