Data Science 2017
July 10 - July 21, 2017
The use of the term "data science" is increasingly common, as is "big data". But what does it mean? What is unique about it? What skills do "data scientists" need to be productive in a world deluged by data? And what are the implications for scientific inquiry?
The fast adoption of advanced technologies by research communities enables new ways for generating, processing, structuring, and the collaborative use of data. This does not only have a profound impact on the amount of data produced, but also on the variety of data formats and the velocity of data generation and handling. With digital technology, new scientific questions can be addressed and old problems can be tackled, for which the technology has not been available so far. Consequently, scientists and research organizations have to cope with organizational challenges to manage data effectively and efficiently to support excellent research. It is therefore essential to acquire the skills necessary to deal with the evolving requirements.
- Data lifecycle and data management
- Infrastructures and Platforms
- Mathematical and Statistical Methods
- Text Analysis
- Visualization & story telling
- Application Examples
All topics were complemented with exercises from real world examples, and project experience from our broad range of experts in the field.
In addition, there were short presentations, enabling participants to present and discuss their work.
- Dr. Jan Brase, Göttingen State and University Library (SUB)
- Prof. Dr. Jens Grabowski, Institute of Computer Science
- Prof. Dr. Arnulf Quadt, Institute of Physics
- Prof. Dr. Ulrich Sax, Infrastructure for Translational Research, University Medical Center Göttingen
- Dr. Philipp Wieder, Gesellschaft für wissenschaftliche Datenverarbeitung Göttingen (GWDG)
Scientific Organizing Committee:
Dr. Jens Dierkes, Göttingen State and University Library and eResearch Alliance
Prof. Dr. Ramin Yahyapour, Institute of Computer Sciences, Practical Informatics
Local Organizing Committee:
Lena Steilen, Gesellschaft für wissenschaftliche Datenverarbeitung Göttingen (GWDG) and eResearch Alliance
Dr. Sven Bingert, Gesellschaft für wissenschaftliche Datenverarbeitung Göttingen (GWDG)
Timo Gnadt, Göttingen State and University Library