[agents] CFP #1: 7th MADEISD Workshop 2025 – Modern Approaches in Data Engineering and Information System Design

[Luković Ivan]

**********************************************************************************************

7th MADEISD Workshop 2025 – Modern Approaches in Data Engineering and 
Information System Design
https://madeisd.fon.bg.ac.rs/2025.html

Organized within the framework of the 29th European Conference on 
Advances in Databases and
Information Systems (ADBIS 2025)

Tampere, Finland, 23th-26th of September, 2025
https://adbis2025.github.io/

***********************************************************************************************


SCOPE & TOPICS

For decades, in many, particularly complex organization systems, there 
is an open issue how to support information management process so as to 
produce useful knowledge and tangible business values from data being 
collected. Database and information systems still play one of the 
central roles in addressing aforementioned issue. In recent years, we 
are the witnesses of great movements in the area of business information 
management. Such movements are both of technological and methodological 
nature. By this, today we have a huge selection of various technologies, 
tools, and methods in data engineering as a discipline that helps in a 
support of the whole data life cycle in organization systems, as well as 
in information system design that supports the software process in data 
engineering. Despite that, one of the hot issues in practice is still 
how to effectively transform large amounts of daily collected 
operational data into the useful knowledge from the perspective of 
declared company goals, and how to set up the information design process 
aimed at production of effective software services in companies. It 
seems that nowadays we have great theoretical potentials for application 
of new and more effective approaches in data engineering and information 
system design. However, it is more likely that real deployment of such 
approaches in industry practice is far behind their theoretical potentials.

The main goal of this workshop is to address open questions and real 
potentials for various applications of modern approaches and 
technologies in data engineering and information system design so as to 
develop and implement effective software services in a support of 
information management in various organization systems. We intend to 
address interdisciplinary character of a set of theories, methodologies, 
processes, architectures, and technologies in disciplines such as Data 
Engineering, Information System Design, Big Data, NoSQL Systems, Data 
Streams, Internet of Things, Cloud Systems, and Model Driven Approaches 
in a development of effective software services. We invite researchers 
from all over the world who will present their contributions, 
interdisciplinary approaches or case studies related to modern 
approaches in Data Engineering and Information System Design. We express 
an interest in gathering scientists and practitioners interested in 
applying these disciplines in industry sector, as well as public and 
government sectors, such as healthcare, education, public 
administration, or security services. Experts from all sectors and 
application domains are welcomed.


Submissions are expected from, but not limited to the following topics:

* Data Engineering and Information System Design – Mathematical 
Foundations, Theoretical, and Practical Aspects
* Architectures, Strategies, and Practices in Data Engineering and 
Information System Design
* Data Engineering and Information System Design – Applications and 
Industry Experience
* Data Engineering and Information System Design for Lean Manufacturing
* Data Engineering and Information System Design for Streaming Data and 
Real Time Systems
* Data Engineering and Information System Design for IoT, Industry 4.0 
and Cloud Systems
* Big Data, NoSQL Systems, Data Streams, Blockchain Systems, and Data 
Lakes in Data Engineering
* OLAP Systems for Big Data, Big Data Analytics, and Deep Learning from 
Big Data
* Model Driven Approaches in Data Engineering, Databases, and 
Information System Design
* Model Driven Approaches in NoSQL System Design and Implementation – 
Problems and Issues
* Domain Specific Modeling and Tools in Data Engineering, Big Data, Data 
Lakes, Data Streams, Blockchain Systems, and NoSQL Systems
* Data Quality Management in Data Engineering, Big Data, Data Lakes, and 
NoSQL Systems
* Methodologies, Models, Algorithms, and Architectures for Big Data, 
Data Lakes, Data Streams, Blockchain Systems, and NoSQL Systems
* Teaching Data Engineering Approaches in Academic and Industrial 
Environments
* Organizational and Human Factors, Skills, and Qualifications for Data 
Engineering
* Data Privacy and Security Issues in Data Engineering
* Models for Data Engineering and Resource Integration
* Regulation and Standardization in Data Engineering
* Lean Software Engineering for Data Engineering, Big Data, Data Lakes, 
Data Streams, Blockchain Systems, and NoSQL Systems
* Innovative Data Models and Data Integrity in Big Data, Data Lakes, 
Data Streams, Blockchain Systems, and NoSQL Systems – Theoretical and 
Practical Aspects


PAPER SUBMISSION

* Submitted papers should present substantially original results not 
currently under review or published elsewhere.
* Papers should be written in English and must comply with the Springer 
formatting guidelines.
* Instructions for authors are available at 
https:https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.
* Papers should be formatted either in Latex or Word and submitted in 
PDF format, using the online submission
   system: https://easychair.org/conferences/?conf=madeisd2025.
* Springer encourages authors to include their ORCIDs in their papers.
* The number of pages of a workshop paper is up to 15 pages for long 
(full) papers, and up to 10 pages for short papers.
* The workshop papers will be published by Springer in Communications in 
Computer and Information Science (CCIS).


BEST PAPER AWARD

Outstanding workshop papers will be invited for submissions as extended 
and revised versions to a special issue in Computer Science and 
Information Systems journal (ComSIS, http://www.comsis.org/), indexed 
by: Science Citation Index (SCI, IF2023: 1.2) by Thomson Reuters, SCOPUS 
(Elsevier), Summon (Serials Solutions).


IMPORTANT DATES

* Workshop paper submission: 30th of April, 2025
* Workshop paper acceptance notification: 4th of June, 2025
* Workshop paper camera ready: 11th of July, 2025
* Workshop date: 23th of September, 2025


WORKSHOP CHAIRS

* Ivan Luković, University of Belgrade, Serbia 
(https://dv.fon.bg.ac.rs/00995/en-US, ivan.lukovic at fon.bg.ac.rs)
* Slavica Kordić, University of Novi Sad, Serbia 
(http://www.acs.uns.ac.rs/en/user/14, slavica at uns.ac.rs)
* Sonja Ristić, University of Novi Sad, Serbia 
(https://ftn.uns.ac.rs/1037/sonja-ristic, sdristic at uns.ac.rs)