SciTransfer
Organization

TECHNISCHE INFORMATIONSBIBLIOTHEK (TIB)

Germany's national science library, specializing in knowledge graphs, FAIR data, and semantic technologies for research and industry applications.

Infrastructure providerdigitalDE
H2020 projects
7
As coordinator
0
Total EC funding
€2.9M
Unique partners
119
What they do

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.

Core expertise

What they specialise in

Knowledge graphs and semantic technologiesprimary
4 projects

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.

FAIR data services and research infrastructureprimary
2 projects

ENVRI-FAIR builds FAIR-compliant services for environmental research infrastructures; ScienceGraph advances findability and accessibility of scholarly output.

1 project

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.

Data governance and platform analyticssecondary
2 projects

PLATOON applies data governance to energy platforms; SC3 addresses data connectivity in semiconductor supply chains.

AI for healthcare dataemerging
1 project

CLARIFY applies AI to cancer survivor follow-up care, indicating expansion from pure information science into health data applications.

Evolution & trajectory

How they've shifted over time

Early focus
Data infrastructure and FAIR principles
Recent focus
Applied AI and domain-specific semantics

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.

Collaboration profile

How they like to work

Role: infrastructure_providerReach: European22 countries collaborated

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.

Why partner with them

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.

Notable projects

Highlights from their portfolio

  • Cleopatra
    Largest funding (EUR 633K) and an MSCA training network — signals TIB's role in training the next generation of multilingual data scientists.
  • ScienceGraph
    ERC-funded project on knowledge graphs for scholarly communication — directly aligned with TIB's core institutional mission and likely their most strategically important project.
  • CLARIFY
    Unexpected cross-domain move: a scientific library contributing AI capabilities to cancer survivor care, demonstrating versatility beyond traditional information science.
Cross-sector capabilities
Health (AI-driven patient data analysis)Energy (data governance for digital platforms)Manufacturing (semantic supply chain management)Environment (FAIR research data services)
Analysis note: All 7 projects fall within a narrow 2019-2020 start window, limiting the ability to observe long-term evolution. TIB's institutional reputation as Germany's national science and technology library is well-established, but the H2020 portfolio alone shows only a slice of their full capabilities. No coordinator roles means we see them exclusively as a contributor, which may understate their strategic capacity.