Research Core Dataset
German Council of Science and Humanities Fraunhofer FIT
 
 
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Project partners

Institute for Research Information and Quality Assurance (iFQ)

The Institute for Research Information and Quality Assurance (iFQ – Institut für Forschungsinformation und Qualitätssicherung) is a non-university organisation for science studies located in Berlin (Germany). The iFQ provides information and analysis of developments and transformations in the German and international science system. It focuses on conditions, prerequisites and consequences of research policy and research funding. The iFQ assists and advices performers such as universities or research organisations as well as policymaking bodies on different administrative or governmental levels. The close interaction between research and service is a key element of the institute's approach.

Projects are being implemented in the following four fields of activities: Evaluation and review processes, Indicators, methods and bibliometrics, Monitoring of the German and international science system and Young researchers and careers.

German Council of Science and Humanities

The German Council of Science and Humanities initiated this project based on its recommendations on the specification of a future research core dataset. As the leading science policy advisory body in Germany, it establishes the links with the community and the science system. Based on its different evaluation procedures, in particular the recent pilot study on research rating, the Council of Science and Humanities has laid the foundations for this project.

Fraunhofer Institute for Applied Information Technology FIT

The Fraunhofer Institute for Applied Information Technology FIT has its competencies in cooperation systems, User-Centered Computing, Risk Management and Decision Support as well as Life Science Informatics. The FIT cooperates closely with the Information Systems group at RWTH Aachen University under a joint leadership. It carries out basic research for data-intensive (mobile) applications in different areas such as e-learning, medicine and electromobility. In this context, one focus is on the administration and use of meta data for supporting the integration and evolution of complex data models. These models form the basis for the realisation of integrated, dispersed and heterogeneous information systems.