What are the best big data research topics

Big data - management and analysis of large amounts of data

The generation and acquisition of data and their transmission is easy and ubiquitous today. The amount of data produced continues to grow: the digitization of content, the integration of digital measurement, control and regulation systems - embedded systems - in everyday objects, the communication of this data with “intelligent environments”, the internet and social networks all contribute to this . However, the processing of the large, heterogeneous amounts of data generated in this way has reached its limits.

Great potential for business and science

Big data, the synonym for the intelligent handling of such large and at the same time heterogeneous amounts of data, is one of the major challenges of our time. Big data holds great potential for science and business. It can permanently change the way companies make decisions and the way they conduct research in a wide variety of scientific disciplines. Big data will create scientific advances and innovations and thus increase the competitiveness of our science and our German companies. At the same time, however, it also requires particularly responsible handling of data and the new intelligent big data technologies.

The Federal Ministry of Education and Research (BMBF) has set itself the goal of providing targeted support for research into the intelligent handling of large, heterogeneous amounts of data in Germany.

Big data competence centers

The BMBF is building two competence centers for big data:

  • the Berlin Big Data Center (BBDC) under the direction of Professor Markl at the TU Berlin and
  • the Competence Center for Scalable Data Services (ScaDS) under the direction of Professor Nagel at the TU Dresden.

While the Berlin Big Data Center will automatically develop scalable technologies that organize huge, heterogeneous amounts of data and at the same time obtain intelligent information from all these amounts of data, the Competence Center for Scalable Data Services in Dresden and Leipzig will use the more service-oriented approach with simultaneous research for Big Data Research, develop and make available a portfolio of Big Data solutions for science and industry.

Driving research on big data

Science and companies have identified their research needs on big data technologies with a focus on extracting useful and reliable information from huge amounts of data and transforming it into data that can be used by humans (visualization). Algorithms that can guarantee real-time capability of data analyzes also play a special role. In the coming years, the BMBF will fund ten projects, particularly in the area of ​​production, i.e. above all Industry 4.0, but also the life sciences and geosciences. The techniques and tools developed should be as widely applicable as possible and contribute to solving the social challenges of the high-tech strategy.

Handle data responsibly

All applications of big data simultaneously harbor potentials and challenges of a legal and social nature. For example, big data blurs the boundaries between personal and non-personal data. Non-personalized data can increasingly be traced back to individual persons. These and other aspects must always be kept in mind. The BMBF intends to use accompanying research to address the issues of responsible handling of big data and to introduce the results into the social discourse.

Machine learning

In order to be able to derive new knowledge from large and complex amounts of data, the data must be processed using powerful scientific analysis methods. An important tool is machine learning, which is used to recognize patterns in data or to first segment data in a way that enables further processing. With a funding measure in 29 projects, the BMBF supports the improvement of qualifications in the field of machine learning by combining the development of algorithms for research questions with academic training. Furthermore, competence centers for the practical application of machine learning as well as a Future Innovation Lab to promote young researchers and to implement innovative ideas are to be set up. In order to increase broad applicability and enable new disruptive applications and technologies, research projects for the practice-relevant application of machine learning methods are to be funded by the BMBF from 2018.

Artificial intelligence platform

In order to develop a responsible use of learning systems and to discuss legal, ethical and social issues, the platform “Learning Systems - The Platform for Artificial Intelligence” was initiated by the BMBF. It is intended to promote the dialogue between science, business, society and politics and to develop recommendations for action in order to position Germany as an international leader for learning systems.