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CONSORTIA

Different disciplines – one goal

NFDI involves 26 consortia and one union of consortia, Base4NFDI. These were selected in a science-led process managed by the German Research Foundation (DFG). The consortia cover diverse scientific disciplines: from cultural sciences, social sciences, humanities and engineering to life sciences and natural sciences.

The NFDI consortia have been kicked off in three funding rounds. The first round has been funded since October 2020, the second round since October 2021 and the third round since March 2023.

Basic services

 

Humanities and Social Sciences

  • BERD@NFDI: NFDI for Business, Economic and Related Data
  • KonsortSWD: Consortium for the Social, Educational, Behavioural and Economic Sciences
  • NFDI4Culture: Consortium for Research Data on Material and Immaterial Cultural Heritage
  • NFDI4Memory: The Consortium for the Historically Oriented Humanities
  • NFDI4Objects: Research Data Infrastructure for the Material Remains of Human History
  • Text+: Language and text-based research data infrastructure


Engineering Sciences

  • NFDI4DataScience: NFDI for Data Science and Artificial Intelligence
  • NFDI4Energy: National Research Data Infrastructure for Interdisciplinary Energy System Research
  • NFDI4Ing: NFDI for Engineering Sciences
  • NFDI-MatWerk: National Research Data Infrastructure for Materials Science and Materials Engineering
  • NFDIxCS – National Research Data Infrastructure for and with Computer Science


Life Sciences

 

Natural Sciences

  • DAPHNE4NFDI: Data from PHoton and Neutron Experiments for NFDI
  • FAIRmat: FAIR Data Infrastructure for Condensed-Matter Physics and the Chemical Physics of Solids
  • NFDI4Cat: NFDI for sciences related to catalysis
  • MaRDI: Mathematical Research Data Initiative
  • NFDI4Chem: Chemistry consortium for the NFDI
  • NFDI4Earth: NFDI Consortium Earth System Sciences
  • PUNCH4NFDI: Particles, Universe, NuClei and Hadrons for the NFDI

(Classification according to DFG classification)

More information on regulations and recommendations for work in the consortia can be found here in the Consortium Guide (German)

Cross-cutting topics that affect several consortia are dealt with in the association in so-called sections. Examples of cross-cutting topics are the joint modelling of metadata schemas and ontologies, common infrastructure services and services on the topic of research data management, legal and ethical issues. By working on cross-cutting topics, transdisciplinary standards can develop and synergy effects can be exploited.