Special Issue on ADBIS 2024 Best Papers Submission Date: 2025-02-01 The explosion of data nowadays, requires data-centric information systems to provide characteristics that can handle both scale and attention to details in a way that makes them usable for their administrators, developers and end-users. Thus, they need to be able to scale smoothly as the volume, rate and heterogeneity of data increases, responsibly, in order to facilitate the avoidance of bias or exclusion from any data analytics algorithms that run over their data, and comprehensively, in order to facilitate a smooth coupling of data production systems, internal data representation and value-generating applications (e.g., applications providing data analytics to end users.)

This Special Issue selects the best papers from the 28th European Conference on Advances in Databases and Information Systems (ADBIS 2024) contributing to the areas related to data management and providing theoretical, methodological, system-oriented, and empirical results.

Guest editors:

Prof. Oscar Romero

Universitat Politècnica de Catalunya, Barcelona, Spain

Email: oscar.romero@upc.edu

Areas of Expertise: Data Management, Big Data, Data Engineering, Knowledge Graphs

Prof. Dimitrios Katsaros

University of Thessaly, Volos, Greece

Email: dkatsar@inf.uth.gr

Areas of Expertise: Distributed Algorithms and Systems, Cloud Computing, Deep Learning

Special issue information:

We invite the submission of original research contributions addressing core data management tasks, as well as techniques and technologies in the following broad areas of data management:

Database Management Systems

Information Systems Architectures and Data Services

Management and Mining of Heterogeneous Data Types

Big Data Management and Analytics

Scalable Data Science

Responsible Data Science

Manuscript submission information:

Tentative Schedule:

Submission Open Date: December 1, 2024

Submission Deadline: February 1, 2025

Editorial Acceptance Deadline: June 30, 2025

Submission Guidelines:

All manuscripts should be submitted electronically through Editorial Manager® at https://www.editorialmanager.com/infosys/default.aspx. When submitting papers, please select the Article Type as "VSI: ADBIS 2024 Best Papers".

Authors should prepare their manuscripts according to the "Guide for Authors" of the Information Systems outlined at the journal website: https://www.sciencedirect.com/journal/information-systems/publish/guide-for-authors.

All papers will be peer-reviewed following a regular reviewing procedure.

For any further information, the authors may contact the Guest Editors.

Keywords:

Databases, information systems, query processing, knowledge extraction, big data, data science