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Found 3 result(s)
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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.
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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 These data reflect an out-of-date data set and may therefore deviate from data currently available as a result of corrections carried out in the meantime.
Knoema is a knowledge platform. The basic idea is to connect data with analytical and presentation tools. As a result, we end with one uniformed platform for users to access, present and share data-driven content. Within Knoema, we capture most aspects of a typical data use cycle: accessing data from multiple sources, bringing relevant indicators into a common space, visualizing figures, applying analytical functions, creating a set of dashboards, and presenting the outcome.