ScienceGraph focuses directly on knowledge graph-based scholarly communication; SC3 applies semantics to supply chains; QualiChain uses semantic approaches for qualifications; Cleopatra builds multilingual analytics.
TECHNISCHE INFORMATIONSBIBLIOTHEK (TIB)
Germany's national science library, specializing in knowledge graphs, FAIR data, and semantic technologies for research and industry applications.
Their core work
TIB is Germany's national library for science and technology, specializing in scientific data management, knowledge graphs, and semantic technologies. They provide research infrastructure for organizing, linking, and making scholarly information findable and reusable — core to the FAIR data principles. In EU projects, TIB contributes expertise in data analytics, knowledge representation, and information retrieval, applying these capabilities across domains from energy platforms to healthcare AI and semiconductor supply chains.
What they specialise in
ENVRI-FAIR builds FAIR-compliant services for environmental research infrastructures; ScienceGraph advances findability and accessibility of scholarly output.
Cleopatra (their largest-funded project at EUR 633K) is an MSCA training network for cross-lingual event-centric analytics — indicating deep investment in multilingual NLP.
PLATOON applies data governance to energy platforms; SC3 addresses data connectivity in semiconductor supply chains.
CLARIFY applies AI to cancer survivor follow-up care, indicating expansion from pure information science into health data applications.
How they've shifted over time
TIB's early H2020 work (2019) centered on foundational data infrastructure: FAIR principles, blockchain-based verification, and education-sector data analytics. Their later projects (2020 onward) show a clear shift toward applied AI and domain-specific knowledge systems — cancer survivor follow-up with AI, energy data governance, and semantic supply chain integration. The trajectory moves from "organizing scientific data" toward "making data actionable in specific industries."
TIB is moving from horizontal data infrastructure toward embedding semantic and AI capabilities into vertical domains like health, energy, and manufacturing — making them increasingly relevant for applied industry projects.
How they like to work
TIB participates exclusively as a partner, never as coordinator, across all 7 projects — consistent with their role as a specialized knowledge infrastructure provider that strengthens consortia rather than leading them. With 119 unique partners across 22 countries, they operate in large consortia and maintain a broad, non-repetitive network. This makes them an accessible, low-friction partner: experienced in multi-partner coordination, comfortable contributing to diverse teams, and unlikely to compete for leadership roles.
TIB has collaborated with 119 unique partners across 22 countries, giving them one of the broadest networks for a non-coordinating organization. Their reach spans most of Europe with no obvious geographic concentration beyond their German base.
What sets them apart
TIB occupies a rare niche: they are a national-level scientific library that actively participates in applied research, not just archiving. Their combination of semantic technologies, FAIR data expertise, and knowledge graph capabilities is hard to replicate — most libraries don't do R&D, and most R&D organizations don't have TIB's depth in information science. For any consortium needing a credible partner for data management plans, ontology design, or making project outputs findable and interoperable, TIB is a natural fit.
Highlights from their portfolio
- CleopatraLargest funding (EUR 633K) and an MSCA training network — signals TIB's role in training the next generation of multilingual data scientists.
- ScienceGraphERC-funded project on knowledge graphs for scholarly communication — directly aligned with TIB's core institutional mission and likely their most strategically important project.
- CLARIFYUnexpected cross-domain move: a scientific library contributing AI capabilities to cancer survivor care, demonstrating versatility beyond traditional information science.