Data Science Journal


The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, 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 open data.

All data is in scope, whether born digital or converted from other sources.

Computer Science Applications
Computer Science
Published by


Interested in reviewing for this journal?

Your interest in reviewing is shared with journals when they are partnered with us. Learn more.

Top handling editors on Publons (Manuscripts handled)
Editorial board members on Publons

Publons users have indicated that they sit on Data Science Journal's editorial board but we are unable to verify these claims. If you are an administrator for Data Science Journal, please get in touch to find out how you can verify the contributions of your editorial board members and more.

Top reviewers on Publons (Manuscripts reviewed in last 12 months)
Endorsed by
Journal Endorsement


View publications in Data Science Journal that have pre-publication reviews.