Modern Approaches in Data Engineering
and Information System Design

5-8th OF SEPTEMBER 2022
TORINO, ITALY

5th OF SEPTEMBER 2022
TORINO, ITALY

Aims and Scope

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. One of the central roles in addressing this issue still play databases and information systems. 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.

Topics

Submissions are expected from, but not limited to the following topics:
  1. Data Engineering and Information System Design – Mathematical Foundations, Theoretical, and Practical Aspects
  2. Architectures, Strategies, and Practices in Data Engineering and Information System Design
  3. Data Engineering and Information System Design – Applications and Industry Experience
  4. Data Engineering and Information System Design for Lean Manufacturing
  5. Data Engineering and Information System Design for Streaming Data and Real Time Systems
  6. Data Engineering and Information System Design for IoT, Industry 4.0 and Cloud Systems
  7. Big Data and NoSQL Systems in Data Engineering
  8. OLAP Systems for Big Data, Big Data Analytics, Deep Learning from Big Data
  9. Model Driven Approaches in Data Engineering, Databases, and Information System Design
  10. Model Driven Approaches in NoSQL System Design and Implementation – Problems and Issues
  11. Domain Specific Modeling and Tools in Data Engineering, Big Data, and NoSQL Systems
  12. Data Quality Management in Data Engineering, Big Data, and NoSQL Systems
  13. Methodologies, Models, Algorithms, and Architectures for Big Data and NoSQL Systems
  14. Teaching Data Engineering Approaches in Academic and Industrial Environments
  15. Organizational and Human Factors, Skills, and Qualifications for Data Engineering
  16. Data Privacy and Security Issues in Data Engineering
  17. Models for Data Engineering and Resource Integration
  18. Regulation and Standardization in Data Engineering
  19. Lean Software Engineering for Data Engineering, Big Data, and NoSQL Systems
  20. Innovative Data Models and Data Integrity in Big Data and NoSQL Systems – Theoretical and Practical Aspects

Important Dates

  • Workshop paper submission: 21st of April, 2022 15th of May, 2022
  • Workshop paper acceptance notification: 23rd of May, 2022 19th of June, 2022
  • Workshop paper camera ready: 15th of June, 2022 3rd of July, 2022
  • Workshop date: 5th of September, 2022

Workshop Chairs

Prof. Ivan Luković

University of Belgrade
Faculty of Organizational Sciences
Serbia

E-mail: ivan.lukovic@fon.bg.ac.rs

Prof. Slavica Kordić

University of Novi Sad
Faculty of Technical Sciences
Serbia

E-mail: slavica@uns.ac.rs

Prof. Sonja Ristić

University of Novi Sad
Faculty of Technical Sciences
Serbia

E-mail: sdristic@uns.ac.rs

Program Committee

  • Paulo Alves, Instituto Politécnico de Bragança, Portugal
  • Moharram Challenger, University of Antwerp, Belgium
  • Boris Delibašić, University of Belgrade, Serbia
  • Dražen Drašković, University of Belgrade, Serbia
  • João M. Fernandes, University of Minho, Portugal
  • Krešimir Fertalj, University of Zagreb, Croatia
  • Krzysztof Goczyła, Gdańsk University of Technology, Poland
  • Ralf-Christian Härting, Aalen University, Germany
  • Dušan Jakovetić, University of Novi Sad, Serbia
  • Miklós Krész, InnoRenew CoE and University of Primorska, Slovenia
  • Dragan Maćoš, Beuth University of Applied Sciences Berlin, Germany
  • Zoran Marjanović, University of Belgrade, Serbia
  • Sanda Martinčić-Ipšić, University of Rijeka, Croatia
  • Cristian Mihaescu, University of Craiova, Romania
  • Nikola Obrenović, University of Novi Sad, Serbia
  • Maxim Panov, Skolkovo Institute of Science and Technology, Moscow, Russia
  • Rui Humberto Pereira, Polytechnic Institute of Porto, Portugal
  • Aleksandar Popović, University of Montenegro, Montenegro
  • Patrizia Poščić, University of Rijeka, Croatia
  • Adam Przybyłek, Gdansk University of Technology, Poland
  • Kornelije Rabuzin, University of Zagreb, Croatia
  • Igor Rožanc, University of Ljubljana, Slovenia
  • Nikolay Skvortsov, Russian Academy of Sciences, Russia
  • William Steingartner, Technical University of Košice, Slovakia
  • Vjeran Strahonja, University of Zagreb, Croatia
  • Slavko Žitnik, University of Ljubljana, Slovenia

Workshop Assistants and Contact

Msc. Nikola Todorović

University of Novi Sad
Faculty of Technical Sciences
Serbia

E-mail: nikola.todorovic@uns.ac.rs

Submission Instructions

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://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 (a link to the online submission system will be provided). Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. The number of pages of a workshop paper is up to 12 pages for full papers, and from 6 to 8 pages for short papers.

According to the Diversity and Inclusion policy of ADBIS 2022, we kindly ask authors to adopt inclusive language in their papers and presentations (https://dbdni.github.io/pages/inclusivewriting.html and https://dbdni.github.io/pages/inclusivetalks.html), and all participants to adopt a proper code on conduct (https://dbdni.github.io/pages/codeofconduct.html).

Paper Review and Proceedings

Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

Workshop papers publication

Workshop papers papers will be published in the Springer CCIS series.

Outstanding workshop papers will be invited for submissions as extended and revised versions to a special issue in a Q1 journal: Information Systems Frontiers (https://www.springer.com/journal/10796), as well as to the Computer Science and Information Systems journal (http://www.comsis.org/), indexed by: Science Citation Index (SCI, IF2020: 1.167) by Thomson Reuters, SCOPUS (Elsevier), Summon (Serials Solutions).