Big and Smart Da­ta

Big and Smart Data
In the coming years, Germany is set to become number one in Europe for digital growth, so the promotion of Big Data technology is one of the top items on the German Federal Government’s digital agenda.
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In the coming years, Germany is set to become number one in Europe for digital growth, so the promotion of Big Data technology is one of the top items on the German Federal Government’s digital agenda. The amount of data generated worldwide by scientific research, industry and private households is growing relentlessly.

This is also true of the aeronautics, space, energy, transport and security sectors. In addition, there is the use of advanced sensor and control technology in the era of Industry 4.0 and the enormous increase in the use of social networks.

The resulting volumes of data must not only be transmitted and stored, but also properly processed. This trend is currently encapsulated by the catchphrases ‘Big Data’ and ‘Data Science’. The retrieval of the knowledge contained within these datasets presents a major challenge from a scientific, technological and societal point of view.

The German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) will draw upon its expertise in fundamental Big Data research, the development of algorithms, and software methodology in a targeted way in order to help address this challenge in the cross-sectoral field of Big and Smart Data.

Cross-sectoral topic projects

OpenSearch@DLR

Data provide the raw materials for research, innovation and business in the 21st century. Open, unbiased and transparent access to information is therefore a basic prerequisite for the free development of a digital society. However, internet searches have become highly monopolised. This has an impact on access to information and knowledge, hinders scientific research and industrial activities, and is detrimental to Europe’s digital sovereignty.

Big Data Platform

The cross-sectoral Big data Platform project aims to develop a methodical data science platform. This platform is intended to establish common standards in data acquisition, data management and data analysis at DLR.

Con­di­ti­on Mo­ni­to­ring of Sa­fe­ty Re­le­vant Struc­tu­res

Discussions on the topic of digital transformation are often conducted in an extremely technical or abstract manner without identifying specific societal benefits. Condition monitoring is a topic that can contribute to the visibility of the benefits of digital transformation and has many practical applications. More data and better algorithms make for more precise condition analyses, which in turn bring direct societal benefits in many areas.