Support structures to facilitate the dissemination and implementation of a national standard for research information – the German case of the Research Core Dataset
Basic data for this talk
Type of talk: scientific talk
Name der Vortragenden: Herwig, Sebastian
Date of talk: 14/06/2018
Talk language: English
URL of slides: http://hdl.handle.net/11366/649
Information about the event
Name of the event: CRIS2018: 14th International Conference on Current Research Information Systems
Event period: 13/06/2018 - 16/06/2018
Event location: Umeå, Schweden
Event website: http://www.cris2018.se
Organised by: euroCRIS
Abstract
The German science and higher education system is characterized by federalism, multi-level governance and interwoven regulatory competences of different levels of government. Establishing binding standards and harmonized policies for German higher education institutions (HEIs) and non-university research institutions is a complex task that requires concerted action and co-operation between the federal and state governments. In this context, the German science council (short for German Council of Science and Humanities) – an advisory body for the German federal and state governments – develops and publishes recommendations on how to advance the German science system and to deal with current challenges and policy needs. One aspect of system-wide political relevance concerns the regulation and use of research information (RI) for different purposes (e.g. for informed decision-making or evaluation). RI comprises information to describe research processes and output, such as data on research staff, projects, publications, patents etc. Until 2016 there were not any nationwide regulations or standards for RI. The gathering and processing of these data in the German science system are often ad-hoc (related to a special occasion), context-specific, non-reproducible and not comparable over different research institutions or types of research institutions (HEIs or non-university research institutions). Research institutions collect and process these data for different external and internal recipients, such as e.g. statistical offices, funding organizations, accreditation agencies or institutional boards and committees, and purposes, such as e.g. reporting (e.g. periodical reports, controlling, internal evaluations) or public relations and outreach (institutional websites, rankings etc.).Speakers from the University of Münster
| Herwig, Sebastian | Administrative Division 6.4: Research Information Management |