Data — Open Access Journal

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, 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). To be added in Scopus from Vol. 4 (2019).
  • Rapid Publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 19.5 days after submission; acceptance to publication is undertaken in 2.5 days (median values for papers published in this journal in the second half of 2019).
  • 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
Big Data for Sustainable Development Guest Editors: Kassim Mwitondi, Rory Ridley-Duff, Barnabas Gatsheni, Charles Taylor
Deadline: 29 February 2020
Special Issue in Data
Data Reuse for Sustainable Development Goals Guest Editors: Fernanda Peset, Rafael Aleixandre-Benavent, Antonia Ferrer-Sapena
Deadline: 1 March 2020
Special Issue in Data
Machine Learning in Image Analysis and Pattern Recognition Guest Editors: Munish Kumar, R. K. Sharma, Ishwar Sethi
Deadline: 31 March 2020
Special Issue in Data
Data Sensing and Analysis in Design, Construction, Operation, Monitoring, and Maintenance of Built Environments Guest Editors: Changbum R. Ahn, Eric Jing Du, Youngjib Ham
Deadline: 30 April 2020
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