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Data-Centric Engineering - Cambridge University Press | 2025 Impact Factor: 3.2 | Cite Score: 4.8 | SCOPUS Q2

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Data-Centric Engineering - Cambridge University Press | 2025 Impact Factor: 3.2 | Cite Score: 4.8 | SCOPUS Q2

  • About this Journal:
  • Data and Metadata is an international, peer-reviewed open-access journal that focuses on research, methodologies, and technologies related to data management, metadata modeling, and information representation.Data-Centric Engineering (DCE) is a peer-reviewed open-access journal dedicated to the transformative impact of data science for research and practice across all areas of engineering. Articles explore the benefits of data science methods and models for improving the reliability, resilience, safety, efficiency and usability of engineered systems.
  • The journal aims to promote data sharing, interoperability, and reuse by exploring how metadata enhances the quality, traceability, and transparency of data in scientific and industrial domains.
  • It serves as a platform for researchers, data scientists, and information managers to exchange knowledge on data curation, standards, and data-driven innovation.
  • The publication supports the principles of open science and FAIR data (Findable, Accessible, Interoperable, and Reusable).

  • Editor-in-Chief:  Eleni Chatzi, ETH Zürich, Switzerland Mark Girolami, University of Cambridge & The Alan Turing Institute, UK Kenichi Soga, University of California Berkeley, USA

  • Scope of the Journal:
  • Data management, sharing, and curation practices.
  • Metadata modeling, standards, and ontologies.
  • Data lifecycle management and provenance tracking.
  • Interoperability and semantic web technologies.
  • Open data, FAIR principles, and scientific reproducibility.
  • Data quality assessment, documentation, and annotation techniques.
  • Applications of metadata in digital libraries, archives, and research infrastructures.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  26326736

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus, Emerging Sources Citation Index

  • Imapct Factor 2025:  3.2

  • Subject Area and Category:  Computer Science Applications, Engineering (miscellaneous), Applied Mathematics

  • Publication Frequency:  Quarterly

  • H Index:  19

  • Best Quartile:

    Q1:  

    Q2:  Computer Science Applications

    Q3:  

    Q4:  

  • Cite Score:  4.8

  • SNIP:  1.037

  • Journal Rank(SJR):  0.638