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The article discusses the role of the RWI, a research institute in collecting multitude of data for scientific community in Germany. It mentions the basic goal of the FDZ Ruhr, a research data center is provide external researchers access to data collected by the RWI within the research project. It also outlines the planned developments towards the availability of research data.

The article examines an employer-employee dataset regarding the impacts of further training in Germany. It states some employment issues included in an employer survey such as the costs and advantages of training, and details on the application of technologies. An employee survey is said to contain the meaning of training measures. Also noted is the role of the Research Data Centre (FDZ) under the German Federal Employment Agency (BA) at the Institute for Employment Research (IAB) in granting access to such information.

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The article provides an overview of data sources from the Economics and Business Data Center (EBDC) Business Expectations Panel and the EBDC Business Investment Panel, which were founded by the University of Munich in Germany and the Ifo Institute for Economic Research. It describes the scope of and access to the EBDC data, the construction of the EBDC data sets, as well as the structure of the EBDC company panels. Some research projects that use the EBDC data sets are also presented.

The article focuses on the research data centre (RDC) of the statistical offices of the Länder in Germany. Safe scientific workstations and comprehensive use of microdata in all statistical offices are some of the advantages of RDC. The RDC is funded by the Federal Ministry for Education and Research. It relates the origins and content of the sub-project called Official Firm Data for Germany. It also covers the data sets that will be created during the course of the project.

The article discusses the potential for socio-economic research through longitudinal data from the Research Data Centre of the German Federal Pension Insurance (FDZ-RV). An overview of the longitudinal data of the German Federal Pension Insurance is provided. Also tackled is the development of Scientific Use Files (SUFs) from process-produced data by the FDZ-RV. Processes of statistical matching are said to be capable of enhancing the potential for various analyses regarding the data of the FDZ-RV.