Data Management, Integration, and Interoperability
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 96
Special Issue Editors
Interests: big data; database; OLAP; business intelligence; trajectory data
Interests: big data; data platforms; business intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Digital transformation has increased the need for integrated data platforms and their effective management. Indeed, to derive value from stored data, organizations must navigate an increasingly complex landscape of heterogeneous data silos with different standards of storage models, data representations, and vocabularies. This Special Issue addresses innovative methodologies, frameworks, and applications that advance data integration and interoperability in data platforms to enable seamless data sharing, collaboration, and decision making. Interoperability should be enabled at the technological, data, and regulation levels.
This Special Issue gathers cutting-edge research and practical applications that address critical gaps in data platform management, with a particular focus on integration and interoperability. This emphasis underscores the pivotal role of integration and interoperability in data-driven innovation to ensure effective digital transformation in different sectors, such as precision agriculture and transportation.
Research areas may include (but are not limited to) the following:
- Advanced solutions for managing data platforms based on metadata (e.g., data catalogs);
- Advanced data structures for flexible and semantically rich data management;
- Novel frameworks and storage architectures for seamless data integration and interoperability across heterogeneous sources (e.g., lakehouse);
- Standards and data models to enhance data interoperability and exchange in cross-organizational settings (e.g., FIWARE Smart Data Models);
- User-centered solutions to data platform management, ETL, and data integration based on LLMs and artificial intelligence;
- Formal frameworks to define, share, and enforce interoperable regulations in applicative domains (e.g., formalize regulations about pesticides in precision agriculture);
- Case studies highlighting the implementation and impact of data management, integration, and interoperability in real-world scenarios.
We look forward to receiving your contributions.
Dr. Matteo Francia
Prof. Dr. Matteo Golfarelli
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- data platforms
- data management
- data integration
- interoperability
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