Workshop on Big (and Small) Data in Science and Humanities (BigDS2023)
Andreas Henrich, Universität Bamberg  |  Naouel Karam, Fraunhofer FOKUS & InfAI e.V.  |  Birgitta König-Ries, Friedrich-Schiller-Universität Jena  |  Bernhard Seeger, Philipps-Universität Marburg

 Workshop 2 
  Tue, 7th  
☷  09:00 - 12:30
☷  13:30 - 15:00  
  APB E005  

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?

This workshop intends to bring together scientists from various disciplines and ↗ NFDI consortia 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 and concrete working groups on challenging subjects.

09:00 - 10:00 (Room APB E001!)
Keynote by Markus Stocker: Machine actionable scientific information: State of the art and the road ahead 

10:00 - 10:30   Coffee Break 

10:30 - 12:30   Session 1

12:30 - 13:30   Lunch Break

13:30 - 15:00  Session 2

Closing round (20 min)

Topics of Interest

In the context of big and small data in science and humanities, the scope of the workshop includes, but is not limited to:

Submission Guidelines

Submitted papers will be refereed by the workshop Program Committee. Accepted papers will appear in the BTW’23 Workshops proceedings, published as part of LNI. The papers should be written in German or English and adhere to the LNI formatting guidelines. Research and Experience papers are limited to 10 pages excluding references, Position papers to 6 pages excluding references.


Research papers must be an original unpublished work and not under review elsewhere. Experience reports must be stated as such and a comprehensive discussion of the taken approach, experiences, and its assessment are expected. All papers and reports must be submitted as PDF documents through ↗ ConfTool.

Authors of accepted high-quality papers will be invited to submit an extended version of the paper for publication in Datenbank Spektrum.

Workshop Agenda (preliminary)


Programm Committee