The goal of the cross-sectoral Big Data Platform project, is the development of a methodical data science platform. This platform is intended to establish common standards in data acquisition, data management and data analysis at the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR). It is hoped that answers to general questions in the field of Big Data Science can be found with the help of these emerging standards.
How uniform access to data be made possible?
In the work package 'Basic Platform Techniques' the team is working on the development of a methodological platform for the analysis of large data sets – both within DLR and beyond in the Helmholtz Association of German Research Centres.
How can high quality of data be ensured?
Even the best analysis techniques will fail if the quality of the examined data is inadequate. Reasons for low data quality can be measurement errors, incomplete data or irrelevant data. The work package 'Data Management Techniques' focuses on high data quality.
How can knowledge be obtained from data?
The work package 'Intelligent Analysis Methods' uses methods from the fields of machine learning and data analysis to derive knowledge from data.
What benefits for society can be achieved?
The work package 'Pilot Demonstrations' focuses on the direct application of the research. For example, in the event of a crisis, it should be possible to support rescue services with automatically evaluated Earth observation data so that they can provide rapid and targeted assistance.