Data Science Journal

Aims & Scope

The Data Science Journal (DSJ) was founded in 2002 to help build knowledge and understanding of how data practices can advance research and human knowledge.

Recent decades have seen an unprecedented explosion in the human capacity to acquire, store, and manipulate data and information.

We are experiencing an historic revolution in knowledge creation, communication, and utilisation.

DSJ explores what that means for the conduct of research and data management.

We regard data science as the ‘science of data’ — the evidence-based study of the socio-technical developments and transformations that affect science policy; the conduct and methods of research; and the data systems, standards, and infrastructure that are integral to research.

A central goal of DSJ is to ensure that data are used in the most effective, efficient, and ethical way in promoting knowledge and learning.

It is a peer-reviewed, open-access, electronic journal that is relevant to all sciences as well as the empirical humanities.

The scope of the journal includes descriptions of data systems; their implementations, applications, infrastructures, software, legal, reproducibility, and transparency issues; the availability and usability of complex datasets; and with a particular focus on the principles, policies, and practices for data preservation and reuse.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 650.00 GBP. Learn more.

Explore journals without APCs for alternative publishing options.