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, Data, Sensors, Systems
Methods for Data Labelling for Intelligent Systems Editors-in-Chief: Emma Tonkin, Kristina Yordanova
Deadline: 30 June 2022
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
Special Issue in Data
Artificial Intelligence in Medical Data Science and Precision Medicine Guest Editor: Zeeshan Ahmed
Deadline: 31 December 2021
Special Issue in Data
Sustainability and Innovation in Entrepreneurial Ecosystems: Data-Driven Approaches Guest Editors: João M. Lopes, Marcio Oliveira, Sofia Gomes, José Oliveira
Deadline: 15 March 2022
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