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Found 3 result(s)
Country
BIBB has a strong tradition of survey-based research. It initiates and realises the collection of individual and firm-level data on crucial positions and transitions in the education and labour market system. The BIBB-FDZ covers a variety of data deploying different units of analysis and temporal designs and focusing on various thematic issues. Standard access to well prepared firm- and individual-level data on the attainment and utilization of vocational education and training Documentation of these data sets, i.e. a description of their central characteristics, main issues and variables, data collection, anonymisation, weighting and recoding etc. Advisory service on data choice, data access and handling, research potential and scope and validity of the data. Supply of a range of data tools such as standard measures and classifications in the fields of education, occupations, industries and regions (if possible also including cross-national fields), formally anonymous data for remote data access, or references to publications with the data.
Country
Research on German and European financial markets suffers from a lack of pan-European data sets. Also, existing sets do not provide a standard identification of, for example, companies. Therefore, researchers often utilize data from the United States where the integration of different databases is more advanced. As a consequence, empirical analyses are mostly based on non-European data. Because of the institutional differences, political recommendations that result from these analyses cannot – or only in a limited scope – be transferred to Europe. Against this background, the SAFE Research Data Center not only draws on the usual international data sources but also creates new European data sets, brings existing data together and processes them. The aim is to place the central research areas of SAFE on a common European data footing. Data access is provided by 'SAFE data sources' https://datacenter.safefrankfurt.de/datacenter/_databases/ and 'FiF - Repositorium für Forschungsdaten aus dem Finanzbereich (Preview version)' https://fif.safe-frankfurt.de/xmlui/
Country
The Research Data Centre (FDZ-RV) was set-up in 2004 as an integral part of the German Federal Pension Insurance (Deutsche Rentenversicherung). Since then, the Research Data Centre produced several cross-sectional and longitudinal datasets, also called Scientific Use Files (SUF), available to researchers interested in issues of retirement, disability and rehabilitation. The datasets are released on an annual basis. The Scientific Use Files are subsamples drawn from the pool of individuals who are insured in the Federal Pension Insurance. The information provided in the original datasets is necessary to administer the beneficiaries of the pension insurance.