Information systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems.

Subject areas include data management issues as presented in the principal international database conferences (e.g. ACM SIGMOD, ACM PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining, information retrieval, internet and cloud data management, web semantics, visual and audio information systems, scientific computing, and organisational behaviour. Implementation papers having to do with massively parallel data management, fault tolerance in practice, and special purpose hardware for data-intensive systems are also welcome.

All papers should motivate the problems they address with compelling examples from real or potential applications. Systems papers must be serious about experimentation either on real systems or simulations based on traces from real systems. Papers from industrial organisations are welcome.

Theoretical papers should have a clear motivation from applications. They should either break significant new ground or unify and extend existing algorithms. Such papers should clearly state which ideas have potentially wide applicability.

In addition to publishing submitted articles, the Editors-in-Chief will invite retrospective articles that describe significant projects by the principal architects of those projects. Authors of such articles should write in the first person, tracing the social as well as technical history of their projects, describing the evolution of ideas, mistakes made, and reality tests.
Technical results should be explained in a uniform notation with the emphasis on clarity and on ideas that may have applications outside of the environment of that research. Particularly complex details may be summarised with references to previously published papers.

We will make every effort to allow authors the right to republish papers appearing in Information Systems in their own books and monographs. 

Special Issue on Temporal Representation and Reasoning in data-intensive systems
Submission Date: 2023-04-01

The purpose of the special issue is to report the state-of-the-art in temporal representation and reasoning in data-intensive systems, including spatio-temporal reasoning. We welcome submissions concerning Time in Artificial Intelligence, Temporal Databases and Temporal Logic and Reasoning, provided that they address issues of data at scale. Indicative topics include, but are not limited to: time in NLP, reasoning about actions and changes, planning, belief and uncertainty in temporal knowledge, temporal learning and discovery, temporal query languages, time-series management, data stream management, verification of temporal systems, run-time verification of temporal properties, temporal aspects of agent- and -policy-based systems, and complex event recognition and forecasting.

Guest editors:
Prof. Alexander Artikis (Managing Guest Editor)University of PiraeusEmail: a.artikis@unipi.gr 
Prof. Roberto PosenatoUniversity of VeronaEmail: roberto.posenato@univr.it 
Prof. Stefano TonettaFondazione Bruno Kessler (FBK)Email: tonettas@fbk.eu 

Manuscript submission information:
Important Dates:

Submission Open Date: 1st November 2022
Submission Deadline: 1st April 2023
Editorial Acceptance Deadline: 3rd September 2023