Getting Social Scientists Onboard – Co-Creating an Information System (and Doing RDM) in the CRC 1342 “Global Dynamics of Social Policy”


12 - 12:30 PM (Zoom)
12 - 1 PM (in MZH)

Data Science Forum

Dr. Nils Düpont

Hybrid (MZH and Zoom)


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The goal of the CRC 1342 “Global Dynamics of Social Policy” is to analyze, understand and explain the spread of social policies since 1880 globally. For this, social scientists collect and process heterogenous data ranging from tabular data to interviews with policy makers, mainly macro-comparative statistical data and (historical) text data though. Despite an established RDM in quantitative survey research, data sharing practices in the social sciences – and comparative welfare state research in particular – are just evolving.

In the first funding phase, WeSIS  – the Welfare State Information System – was designed in co-creation with and for the social scientists keeping the FAIR principles in mind. Achieving a mutual understanding among social and computer scientists led to a harmonization both in terms of the data itself, the documentation and storage and availability of the data that was and still is missing in welfare state research. Turning into a dedicated Infrastructure Project, the focus in the second phase shifts to extending WeSIS’ functionalities while implementing a “three pillar” strategy along the entire data life cycle that takes all projects on board – regardless of their fit to WeSIS. In this talk, we will focus on the challenges and solutions around building WeSIS and how this shaped the “three pillar” RDM strategy of the second phase.

Dr. Nils Düpont works as a postdoc in the CRC 1342: "Global Dynamics of Social Policy" (project INF) and is involved in the development of WeSIS (Welfare State Information System), a comprehensive interactive web-based information system on global dynamics of social policy. In addition, he supports the CRC researchers in terms of research data management. Nils holds a PhD in political science from the University of Greifswald.
The lunch-and-learn event will take place in hybrid format from 12-12:30pm at MZH and via Zoom. There will be a 20-minute keynote presentation followed by an open forum for questions and discussion. We have planned an extra half hour on site (i.e. until 1 p.m.) for personal exchange on the talk, general data science aspects or our services. If you would like to be present on site at the MZH, just write us a short EMAIL for better planning. We look forward to exciting discussions!

FDM is important for all data-intensive researchers, as it is the foundation for data science. Also, more and more funding agencies require concrete information on data management in third-party funding applications. The DFG has also recently specified its requirements in this regard and is now making information on the handling of research data in collaborative and individual proposals mandatory (see DFG-news item from March 14 ). A sustainable RDM strategy is thus crucial for the success of proposals and research projects, and the U Bremen offers various support services.

09.06.2022 | Dr. Martin Blenkle (Staats- und Universitätsbibliothek)
16.06.2022 | Dr. Björn-Oliver Schmidt (Referat 12, U Bremen)
23.06.2022 | Dr. Nils Düpont (SOCIUM & SFB 1342)
14.07.2022 | Dr. Julian Lilkendey, Heike Thöricht, Dr. Sandra Zänkert (Data Stewards, DSC)

Dr. Nils Düpont