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Found 6 result(s)
Country
The Economics & Business Data Center (EBDC) is a combined platform for empirical research in business administration and economics of the Ludwig–Maximilian University of Munich (LMU) and the Ifo Institute and aims at opening new fields for empirical research in business administration and economics. In this regard, the EBDC provides innovative datasets of German companies, containing both survey data of the Ifo Institute as well as external balance sheet data. Therefore, the tasks of the EBDC also include the procurement and administration of data sources for research and teaching, the central provision, updating and documentation of external databases, as well as the acquisition of corresponding support tools. Beyond that, the EBDC serves as a contact and central coordinator on licensing economic firm-level datasets for LMU’s Munich School of Management and LMU’s Department of Economics and supports researchers and guests of the LMU and the Ifo Institute on site. In the future, it will also conduct academic conferences on research with company data.
Country
HISTAT (Historical Statistics)provides data from studies of population, economic and social history as well as the historical Statistics under a single user interface to be made available online. HISTAT offers a variety of time series, Historical Statistics primarily from Germany, partly down to the 16 . century; the database is structured theme-and study-oriented. Studies are listed by subject area and can be individually selected. using an alphabetical list of authors of individual studies can also be selected. Moreover, a study on cross Keyword is offered. HISTAT provides information and research opportunities to both study level as well as at time series level. It offered a thesaurus-based meta-search for words, authors and studies in the study descriptions, the data (time series definitions) and the sources.
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.
KONECT (the Koblenz Network Collection) is a project to collect large network datasets of all types in order to perform research in network science and related fields, collected by the Institute of Web Science and Technologies at the University of Koblenz–Landau. KONECT contains over a hundred network datasets of various types, including directed, undirected, bipartite, weighted, unweighted, signed and rating networks. The networks of KONECT are collected from many diverse areas such as social networks, hyperlink networks, authorship networks, physical networks, interaction networks and communication networks. The KONECT project has developed network analysis tools which are used to compute network statistics, to draw plots and to implement various link prediction algorithms. The result of these analyses are presented on these pages. Whenever we are allowed to do so, we provide a download of the networks.
The Portal aims to serve as a unique access point to timely, comprehensive migration statistics and reliable information about migration data globally. The site is designed to help policy makers, national statistics officers, journalists and the general public interested in the field of migration to navigate the increasingly complex landscape of international migration data, currently scattered across different organisations and agencies. Especially in critical times, such as those faced today, it is essential to ensure that responses to migration are based on sound facts and accurate analysis. By making the evidence about migration issues accessible and easy to understand, the Portal aims to contribute to a more informed public debate. The Portal was launched in December 2017 and is managed and developed by IOM’s Global Migration Data Analysis Centre (GMDAC), with the guidance of its Advisory Board, and was supported in its conception by the Economist Intelligence Unit (EIU). The Portal is supported financially by the Governments of Germany, the United States of America and the UK Department for International Development (DFID).
Country
One of the Bundesbank's tasks is to collect statistical data. Some of these data are then fed into the time series published on the internet in the time series database. In recent years, there have been increased demands for all data providers to make more data available for research purposes. This applies, on the one hand, to the individual data used for the calculation of the published aggregated data. This is because only using these individual data is it possible to accurately reflect the heterogeneity of the relevant feature carriers in academic studies. Due to legal requirements, individual data cannot be made generally available. However, these data are made available under strict conditions and for clearly defined academic research purposes at the Research Centre of the Deutsche Bundesbank. Furthermore, in the area of aggregated data, there is also an increasing demand for real-time data. These data reflect an out-of-date data set and may therefore deviate from data currently available as a result of corrections carried out in the meantime.