Big (and Small) Data in Science and Humanities – 20th Conference on Database Systems for Business, Technology and Web (BTW 2023)
Organisation: BTW 2023
The workshop intends to bring together scientists from various disciplines and ↗ NFDI consortia such as NFDI4Biodiversity with database researchers to discuss real-world problems in data science as well as recent big data technology. The workshop will consist of three parts: inspiring invited talks from international experts, presentations of accepted workshop papers (see call below) and concrete working groups on challenging subjects.
Andreas Henrich, Universität Bamberg
Naouel Karam, Fraunhofer FOKUS & InfAI e.V. (NFDI4Biodiversity)
Birgitta König-Ries, Friedrich-Schiller-Universität Jena (NFDI4Biodiversity)
Bernhard Seeger, Philipps-Universität Marburg (NFDI4Biodiversity)
Call for Papers
The importance of data has dramatically increased in almost all scientific disciplines over the last decade, e.g., in meteorology, genomics, complex physics simulations, biological and environmental research, and recently also in the humanities and social sciences. This development is due to great advances in data acquisition and data accessibility, e.g., improvements in remote sensing, powerful mobile devices, popularity of social networks, and the ability to handle unstructured data (including texts). On the one hand, the availability of such data masses leads to a rethinking in scientific disciplines on how to extract useful information and foster research. On the other hand, researchers feel lost in the data masses because appropriate data management, integration, discovery, analysis, and visualization tools are only rudimentarily available so far. However, this is starting to change with the recent development of big data technologies and with progress in natural language processing, semantic technologies and others that seem to be not only useful in business, but also offer great opportunities in science and humanities. Scientific workflows must be realized as flexible end-to-end analytic solutions to allow for complex data processing, integration, analysis, and visualization of Big Data in various application domains. For the workshop, we are particularly interested in two aspects of these topics: First, how can tools support the achievement of the FAIR principles? And second, what contributions can the database and information systems community make to the conceptualisation and implementation of Germany’s National Research Data Infrastructure NFDI?
See detailed information on topics of interests, important dates and submission guidelines at the event page linked above.