Call for Papers – DE4DS

Second Workshop on Data Engineering for Data Science

DE4DS 2025 @ BTW 2025, Bamberg, Germany

Marina Tropmann-Frick, Hamburg University of Applied Sciences | Tanja Auge, University of Regensburg | Sheeba Samuel, Chemnitz University of Technology

Data engineering plays a crucial role in data science projects. Effective data collection and metadata management are essential for enabling any meaningful analysis and often consume the majority of project time. Data engineering supports the scalability of data science projects by establishing pipelines that automate data workflows, ensuring data is continuously updated and accessible. This automation minimizes the need for repetitive, manual data processing tasks, allowing data scientists to focus on modeling and analysis.

This workshop, organized by the DBIS working group 'Data Engineering for Data Science', aims to facilitate discussions, interactions, and collaborations on the impact of data management research in data science. 

We invite papers presenting novel contributions in this field, including:

• Data Engineering methods and algorithms

• Interplay between data engineering and data science

• Integration of data engineering and data science workflows

• Managing real-time data and event streams in data science projects

• Specialized database and dataflow architectures for data science

• Engineering and management of data and information flows in data science pipelines

• Metadata management in data science projects

• Privacy-preserving techniques in data engineering and data science systems

• Impact of data quality and preprocessing on fairness in machine learning predictions

• Dataset preprocessing and integration methods for data science projects

• Data provenance tracking in data science workflows

• Ensuring reproducibility and replicability in data-driven analyses

• Scalable data processing techniques for large-scale data science

• Advanced data and information visualization techniques for data exploration and analysis

• Data management strategies in machine learning-driven applications

• Knowledge discovery for data science applications

• Handling non-i.i.d. data structures (e.g., graphs) in data science workflows

• Optimization of complex data science pipelines: definition and execution

• Development of dedicated benchmarks for evaluating data engineering solutions

• Case studies and reports on real-world data science projects

We also call for reports on work in progress, applications, and tools (e.g., interesting use cases, problems, data sets, benchmarks, visionary ideas, system designs, and descriptions of system components and tools).

In addition to these regular submissions, we also welcome presentations of papers already accepted (any, maybe, presented) at major database conferences or journals, as long as they are a good match for the topics.

Submission Guidelines

Submitted papers will be refereed by the workshop Program Committee. Accepted papers will appear in the BTW’25 Workshops proceedings, published as part of LNI. The papers should be written in German or English and adhere to the LNI formatting guidelines. Regular papers are limited to 12 pages excluding references. Position papers, short reports on work-in-progress, applications, and tools are limited to 6 pages excluding references. Presentations of papers accepted at major database conferences and journals: 1 page LNI with the abstract and a reference to the original paper.

Research papers must be an original unpublished work and not under review elsewhere. All accepted papers will be presented at the workshop. Regular papers and short reports (but not papers accepted at major database conferences and journals) will be published in the Workshops proceedings of the BTW conference. A selection of best papers of the workshop will be invited to submit an extended article to the Datenbank Spektrum.All papers and reports must be submitted as PDF documents via the Conftool.

Important Dates

Workshop Agenda

TBA

Program Committee

• Ahmed Al-Ghezi (Universität Frankfurt)
• Andreas Thor (HTWK Leipzig)
• Annett Ungethüm (Universität Hamburg)
• Benjamin Hättasch (TU Darmstadt)
• Bostjan Brumen (Maribo University)
• Clemens Schreiber (AIFB, KIT)
• Kerstin Schneider (Hochschule Harz)
• Martin Schultz (HAW Hamburg)
• Matthias Boehm (Technische Universität Graz)
• Meike Klettke (Universität Regensburg)
• Pratyush Agnihotri (TU Darmstadt)
• Richard Lenz (FAU, Erlangen-Nürnberg)
• Ralf Schenkel (Universität Trier)
• Thomas Seidl (LMU)