Data (ISSN 2306-5729) is a peer-reviewed open access journal on data in science, with the aim of enhancing data transparency and reusability. The journal publishes in two sections: a section on the collection, treatment and analysis methods of data in science; a section publishing descriptions of scientific and scholarly datasets (one dataset per paper). The journal is published monthly online by MDPI.
  • Open Access—Free for readers, with article processing charges (APC) paid by authors or their institutions.
  • High Visibility: indexed in the Emerging Sources Citation Index (ESCI) - Web of Science and Inspec (IET). Indexed in Scopus (2019 CiteScore: 2.1).
  • Rapid Publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 15.7 days after submission; acceptance to publication is undertaken in 2.7 days (median values for papers published in this journal in the second half of 2020).
  • Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
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Special Issue in Data
A European Approach to the Establishment of Data Spaces Guest Editors: Alexander Kotsev, Marco Minghini, Massimo Craglia, Stefano Nativi
Deadline: 31 March 2021
Special Issue in Data
Development of a Smart Future under Society 5.0 Guest Editors: Maja Meško, Mirjana Pejić Bach, Mag. Vasja Roblek, Polona Sprajc
Deadline: 30 April 2021
Special Issue in Data
Foundation of Data Science and Machine Learning Guest Editors: Imran Razzak, Md. Saiful Islam, Mohamed Reda Bouadjenek
Deadline: 21 May 2021
Special Issue in Data
Challenges in Business Intelligence Guest Editor: Francisco Guijarro
Deadline: 31 May 2021
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