Data — Open Access Journal of ʻData in Scienceʼ

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 quarterly online by MDPI.
  • Open Access - free for readers, free publication for well-prepared manuscripts submitted in 2018.
  • High visibility: Indexed in the Emerging Sources Citation Index (ESCI) - Web of Science and Inspec (IET).
  • Rapid publication: manuscripts are peer-reviewed and a first decision provided to authors 19 days after submission; acceptance to publication is undertaken in 3.6 days (median values for papers published in the first six months of 2018).
  • 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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Latest Articles



2 October 2018
MDPI Welcomes Plan S

Special Issues

Special Issue in Data
Semantics in the Deep: Semantic Analytics for Big Data Guest Editors: Spiridon D. Likothanassis, Panos Kalnis, Dimitrios A. Koutsomitropoulos
Deadline: 23 November 2018
Special Issue in Data
Spatial Denominators: Modeling Population and Demographic Distributions Guest Editors: Catherine Linard, Andrea Gaughan
Deadline: 30 November 2018
Special Issue in Data
Wireless Localization: Tracking and Navigation Data Set Guest Editors: Aleš Prokeš, Joaquín Torres-Sospedra
Deadline: 28 February 2019
Special Issue in Data
Big Network Inference, Integration and Analysis for Precision Medicine (BigDataNetAnalysis) Guest Editors: Laura Antonelli, Swarup Roy, Pietro Hiram Guzzi
Deadline: 22 March 2019
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