Databases: Their Creation, Management and Utilization

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/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. We welcome systems papers that focus on implementation considerations in massively parallel data management, fault tolerance, and special purpose hardware for data-intensive systems; theoretical papers that either break significant new ground or unify and extend existing algorithms for data-intensive applications; and manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, which present innovative, high-performance, and scalable solutions to data management problems for those domains.

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 organizations are welcome. Theoretical papers should have a clear motivation from applications and clearly state which ideas have potentially wide applicability.

Authors of selected articles that have been accepted for publication in Information Systems are invited by the EiCs to submit the experiment described in their papers for reproducibility validation. The resulting additional reproducibility paper is co-authored by the reproducibility reviewers and the authors of the original publication.

As part of its commitment to reproducible science, Information Systems also welcomes experimental reproducible survey papers. Such submissions must:
(i) apply a substantial portion of the different surveyed techniques to at least one existing benchmark and perhaps one or more new benchmarks, and
(ii) be reproducible (the validation of reproducibility will result in a separate paper following the guidelines of our Reproducibility Editor).

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.
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 Best Papers of DOLAP 2025
提出日: 2025-09-30

This Special Issue features extended versions of the best papers selected by the Chairs and Program Committee of DOLAP 2025—the 27th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data, held March 25 2025 in Barcelona alongside EDBT/ICDT 2025. Each paper will include new content to deepen theory, expand experiments, enhance system design, or add comprehensive case studies.

Topics include data warehouse/lake design, OLAP/query optimization, data quality and preparation, AI/ML integration, real‑time and distributed analytics, benchmarking, and application-driven studies across domains.

Guest editors:

Prof. Matteo Lissandrini (Executive Guest Editor)
University of Verona, Verona, Italy
Email: matteo.lissandrini@univr.it
Areas of Expertise: big data, data exploration, business intelligence

Prof. Alejandro Maté Morga
University of Alicante, Alicante, Spain
Email: amate@dlsi.ua.es
Areas of Expertise: data analytics; requirement engineering; artificial intelligence

Manuscript submission information:

Important Dates:

    Submission Open Date: June 25, 2025
    Submission Deadline: September 30, 2025
    Editorial Acceptance Deadline: January 31, 2026

Submission Guidelines:

All manuscripts should be invited by the Guest Editors and submitted electronically through Editorial Manager® at https://www.editorialmanager.com/infosys/default.aspx. When submitting papers, please select the Article Type as "VSI: DOLAP 2025". 

Invited authors should prepare their manuscripts according to the "Guide for Authors" of the Information Systems outlined at the journal website. 

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

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

Keywords:

Design, Optimization, Languages and Analytical Processing of Big Data

Special Issue on Conceptual and Technical Engineering of Blockchain-based Information Systems
提出日: 2025-09-30

Blockchain technology supports decentralized, transparent, and immutable transaction execution and storage. The advent of smart contracts has provided the opportunity to manage digital assets and to implement business logic running on blockchain platforms. The evolution of blockchain has generated a strong and continuously growing interest from industry and academia in its adoption for creating novel trustable Blockchain-based Information Systems (BISs). This was possible thanks to the blockchain's execution environment, offering additional trust guarantees to execute multi-party collaborations, and enhancing auditing and verification activities. Indeed, blockchain enables mutually distrusting parties to share data in a trusted way, without requiring third-party authorities.

However, the distinctive nature of this technology and its application in novel information systems raise new challenges from different perspectives and at different levels. From a conceptual perspective, important challenges revolve around requirements engineering, modeling, integration, governance, and the evolution of BISs. From a technical perspective,
the development of BISs raises challenges related to data sharing, data management, system optimization, and the adoption of novel on- and off-chain solutions.

The special issue aims to advance the state of BISs and their engineering by facing conceptual and technical challenges at different levels. Addressing such challenges requires innovative research and solutions to strengthen the maturity of blockchain technology for information systems.

Guest editors:

Dr. Sarah Bouraga, Ph.D.
EM Normandie Business School, Le Havre, France
Email: sbouraga@em-normandie.fr 

Dr. Felix Härer, Ph.D.
FHNW University of Applied Sciences, Windisch, Switzerland
Email: felix.haerer@fhnw.ch 

Dr. Alessandro Marcelletti, Ph.D.
University of Camerino, Camerino, Italy
Email: alessandro.marcelletti@unicam.it 

Special issue information:

The special issue invites theoretical, conceptual, technical, and practical contributions on various topics related to Blockchain-based Information Systems (BISs), including:

Conceptual-oriented:

    Models, methods, and tools for the design of BISs
    Meta-models and ontologies
    Challenges related to the design of BISs
    Sustainability
    Empirical material providing and assessing approaches to the design of BISs
    Field experience providing details, benefits, or challenges in the design of BISs
    Modeling of BISs
    Innovation and re-engineering using Blockchain Technology
    Blockchain-enabled business processes for specific industries (e.g. Banking and Finance, Supply Chain, Retail, Government)
    Governance of blockchain-based networks
    Blockchain to support organizational governance
    Decentralized Autonomous Organizations (DAOs)

Technical-oriented:

    Blockchain data management including sharing and provenance
    Data privacy and confidentiality on the blockchain (e.g., encryption, zero-knowledge)
    Blockchain-based authentication and access control
    Layer-two solutions for BISs
    Off-chain solutions for BISs
    Oracles for trusted data
    Optimization in smart contracts (e.g., data structures)
    Blockchain hybrid architectures
    Cross-chain, interoperable and bridge solutions for BISs
    Analysis techniques of blockchain data and BISs (e.g., data visualization, process mining)
    Query languages on blockchain
    Data auditing and monitoring on blockchain

Manuscript submission information:

Important Dates:

    Submission Open Date: May 1, 2025
    Submission Deadline: September 30, 2025
    Editorial Acceptance Deadline: May 1, 2026

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: BISs". 

Authors should prepare their manuscripts according to the "Guide for Authors" of the Information Systems outlined at the journal website. 

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

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

Keywords:

Blockchain; Information Systems; Business Process; Engineering