Rethink the way of connecting research data

The future is globally distributed and linked-up knowledge, not the institutional data silo. Technical, legal and also social impediments often stand in the way of this future. The ZBW aims to remove them.

In process: NFDI consortia

In November 2018, the German federal and state governments decided to develop a National Research Data Infrastructure (NFDI). NFDI will ensure the systematic management, long-term preservation, and accessibility of data across disciplines and countries according to the FAIR principles. The 30 consortia currently being established will play an important role in this. Financing is provided for the next ten years in the amount of 85 million Euros per annum. 

The ZBW participates in the following consortia:

Consortium for the Social, Behavioural, Educational, and Economic Sciences (KonsortSWD)

Goals of KonsortSWD: KonsortSWD aims to support researchers and research data centres in the administration and reuse of (new) sensitive and non-sensitive data according to the FAIR principles, with regard to both technology and content. This includes, beside sustainable RDM across the research data life cycle, in particular the long-term management of data availability in due consideration of ethical and legal aspects.

Partners of ZBW:

  • GESIS – Leibniz Institute for the Social Sciences (Lead)
  • DIPF – Leibniz Institute for Research and Information in Education
  • LIfBi – Leibniz Institute for Educational Trajectories
  • SOEP at DIW Berlin – Socio-Economic Panel at German Institute for Economic Research
  • WZB – Berlin Social Science Center
  • ZPID – Leibniz Institute for Psychology
  • DZHW – German Centre for Higher Education Research and Science Studies
  • SOFI – Sociological Research Institute at Göttingen University
  • Research Data Center Qualiservice at University of Bremen
  • University of Duisburg-Essen

Consortium NFDI for Business, Economic and Related Data (BERD@NFDI)

Goals of BERD@NFDI: The BERD@NFDI consortium will create and develop during the next five years a national cloud-based platform for the application of Artificial Intelligence, machine learning and complex analytical procedures in the fields of social sciences and economics. The platform will make it possible to gain new findings from big unstructured datasets.

Partners of ZBW:

  • University of Mannheim (Lead)
  • University of Hamburg
  • University of Cologne
  • Ludwig-Maximilians-University Munich
  • Institute for Employment Research
  • GESIS – Leibniz Institute for the Social Sciences

Consortium NFDI for Data Science and Artificial Intelligence (NFDI4DataScience)

Goals of NFDI4DataScience: NFDI4DataScience aims to build a community-driven research data infrastructure for data science and Artificial Intelligence. The consortium focuses on various types of data and artifacts established within the community, including publications, data, models and code. Transparency, reproducibility and fairness are crucial challenges.

Partners of ZBW:

  • Fraunhofer FOKUS (Lead)
  • German Research Center for Artificial Intelligence (DFKI)
  • Fraunhofer FIT
  • FIZ Karlsruhe
  • GESIS – Leibniz Institute for the Social Sciences
  • Hamburger Informatik Technologie-Center e.V. (HITeC)
  • Leibniz University Hannover
  • Schloss Dagstuhl – Leibniz Center for Informatics
  • RWTH Aachen University
  • TIB Leibniz Information Centre for Science and Technology
  • TU Berlin
  • TU Dresden
  • Leipzig University
  • ZB MED Information Centre for Life Sciences

In process: GeRDI – Generic Research Data Infrastructure

From 2016 to 2020, the ZBW developed a prototype for a generic research data search and linkup: in an alliance of five partner institutions GeRDI – Generic Research Data Infrastructure created a model for a networked infrastructure for research data.

Do you have any questions or suggestions? Then please contact:

Professor Klaus Tochtermann
Director of the ZBW
T: +49 431 8814-333

E. directorbot@filterzbw.scripteu

Anja Busch
Project Management Consultant
T: +49 431 8814-647

E. a.botbuschn@filterzbw.scripteu

Back to home page