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): This consortium is led by GESIS – Leibniz Institute for the Social Sciences and includes the ZBW, DIPF – Leibniz Institute for Research and Information in Education, the LifB – Leibniz Institute for Educational Trajectories, the SOEP at the German Institute for Economic Research (DIW), the Berlin Social Science Center (WZB), the Leibniz Institute for Psychology Information (ZPID), the German Centre for Higher Education Research and Science Studies (DZHW), the Sociological Research Institute Göttingen (SOFI) at Göttingen University, the research data centre Qualiservice of Bremen University, and Duisburg-Essen University.
The ZBW participates in the planning of the following consortia:
• NFDI for Business, Economic and Related Data (BERD@NFDI): BERD@NFDI is a cooperation of the ZBW with the universities of Mannheim, Cologne, Munich and Hamburg, with the Institute for Employment Research (IAB) and the Leibniz Centre for European Economic Research (ZEW). Mannheim University is the lead institution.
• NFDI4DataScience and Artificial Intelligence: The initiative NFDI4DataScience aims to build a research infrastructure for the community of data science and Artificial Intelligence within computer science. Another important goal for the consortium is the resolving of the replication crisis that is one of the major current challenges in this field. This consortium is jointly proposed by DFKI (German Research Center for Artificial Intelligence), FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, Fraunhofer Institute for Applied Information Technology FIT, GESIS – Leibniz Institute for the Social Sciences, HITeC – Research and Technology Transfer Center Hamburg, Leibniz University Hannover, RWTH Aachen University, Schloss Dagstuhl – Leibniz Center for Informatics, TU Desden, TIB – Leibniz Information Centre for Science and Technology, TU Berlin, Leipzig University, ZB MED – Information Centre for Life Sciences, and ZBW – Leibniz Information Centre for Economics.
The consortium is led by Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.
• NFDI4Memory: The consortium NFDI4memory addresses not only the field of history as such but also other disciplines that make use of historical data as part of their methodologies. The consortium is headed by the IEG – Leibniz Institute of European History in Mainz and includes 10 further co-applicants. The ZBW is involved as a
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.
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