“From Big Data to Smart Knowledge – Text and Data Mining in Science and Economy”
The international conference "From Big Data to Smart Knowledge – Text and Data Mining in Science and Economy" tackled questions on data usability and the role that libraries will play in the future. The event was organised by Goportis – Leibniz Library Network of Research Information and the Fraunhofer Institute for Algorithms and Scientific Computing SCAI. It was run by ZB MED – Leibniz Information Centre for Life Sciences.
The world of science and research is changing. In the age of the Internet, increasing digitisation, and digital accessibility of data, it has become essential to develop methods of making data fully intelligible in the electronic realm. These methods – generally referred to as text and data mining – are increasingly being applied in the fields of science, engineering, life science and economics. The goal of the conference "From Big Data to Smart Knowledge – Text and Data Mining in Science and Economy" – which was attended by experts from all over the world – was to discuss these topics in detail and present the latest examples from science and industry.
The event was divided into a number of sessions which examined different aspects of text and data mining. Topics included the key principle that research data should be freely available, compatible, traceable and easily reusable to improve the chances of it being used again. Other sessions examined applied research in the field of text mining and discussed how these methods are used at institutions such as the German National Library and ZBW – National Library of Economics, Leibniz Information Centre for Economics. In addition, case studies were presented to show how text and data mining can be applied in translational research in a range of disciplines – for example analysing electronic patient data in Denmark to investigate drug side effects.
The presentations at the international conference were recorded and are now freely available for viewing on YouTube: https://www.youtube.com/channel/UCvIKQDG-TvlVzZ2qvtvgcEQ/videos. You can also download the presentation slides from the website www.textminingconference.de.
