For the "Data Portal for Research on Racism and Right-Wing Extremism", the HBI is developing a research data infrastructure for the secure exchange of social media account lists in compliance with data protection regulations.
The project aims at establishing and operating a data portal to support research on racism and right-wing extremism. It is carried out in cooperation with the Leibniz Institute for the Social Sciences GESIS. The portal facilitates the search for and access to existing databases and helps researchers to share their own research data.
Within the framework of this overall project, the sub-project "Trust Agency Directory of Right-Wing Extremist Actors and Networks VrAN" is being implemented at the HBI. It is creating a research data infrastructure for the secure exchange of social media actor directories in accordance with data protection regulations. In this project, we will clarify the legal framework and requirements for a data exchange process via a trust office, which will be set up at the Leibniz Institute for the Social Sciences GESIS. This data exchange process will be implemented technically. In addition, we will prepare templates for the legal documents for participation in the data exchange.
In workshops, we will ensure that the requirements of the scientific community are considered in the development of the data exchange process and teach working with the research infrastructure to participate in the data exchange.
Photo by Manuel Geissinger on Pexels
The equal political and social participation of religious and ethnic minorities has again become increasingly visible as a political conflict line since the immigration wave of 2015/2016. This line of conflict becomes relevant because the constitutional state is called upon to prevent discrimination against ethnic and religious minorities.
In order to provide an empirical basis for the development of effective intervention programmes, social science research needs to intensify its research on the causes and effects of racism and extremism.
Research data infrastructures can increase the efficiency of the research process by sharing data and tools within the research community. This avoids redundant surveys and data collections and provides access to particularly important data sources.