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 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 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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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
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
Special Issue in Data
Machine Learning in Image Analysis and Pattern Recognition Guest Editors: Munish Kumar, R. K. Sharma, Ishwar Sethi
Deadline: 30 June 2021
Special Issue in Data
Data Governance Principles, Decision Domains and Organizational Structures Guest Editors: Paul Haskell-Dowland, A.S.M. Kayes, Indika Kumara, Mohiuddin Ahmed
Deadline: 15 July 2021
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