Data

Data 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 within Scopus, ESCI (Web of Science), dblpInspec, and many other databases.
  • Journal Rank: CiteScore - Q2 (Information Systems and Management)
  • 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 3.9 days (median values for papers published in this journal in the first half of 2021).
  • 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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Topic in AI, Applied Sciences, BDCC, Data, MAKE
Machine and Deep Learning Editor-in-Chief: Andrea Prati
Deadline: 28 February 2022
Topic in Energies, Sustainability, Data
Actions for Bioenergy and Biofuels: A Sustainable Shift Editors-in-Chief: Idiano D'Adamo, Piergiuseppe Morone
Deadline: 31 March 2022
Special Issue in Data
Machine Learning with Label Noise Guest Editors: M. Rashedur Rahman, Ken Barker, Luís Paulo F. Garcia, Nabeel Mohammed, Sifat Momen
Deadline: 31 July 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 September 2021
Special Issue in Data
A European Approach to the Establishment of Data Spaces Guest Editors: Alexander Kotsev, Marco Minghini, Massimo Craglia, Stefano Nativi, Carlos Granell
Deadline: 31 October 2021
Special Issue in Data
Knowledge Extraction from Data Using Machine Learning Guest Editor: Giuseppe Ciaburro
Deadline: 30 November 2021
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