Best Paper Award

2.0Impact Factor
5.0CiteScore
26 daysTime to First Decision

The Data Best Paper Award is granted annually to highlight publications of high quality, scientific significance, and extensive influence. The evaluation committee members choose one paper of exceptional quality that was published in the journal the year before the previous year and announce it online by the end of June.

The Prize:
– One paper will be selected.
– Each winner will receive CHF 500, a certificate, and a free voucher for article processing fees valid for one year.

Data Best Paper Award

Winners announced

Eligibility and Requirements

– All papers published in Data will be eligible (both regular and Special Issue submissions).

Selection Criteria

– Scientific merit and broad impact;
– Originality of the research objectives and/or the ideas presented;
– Creativity of the study design or uniqueness of the approaches and concepts;
– Clarity of presentation;
– Citations and downloads.

Past Winners

Winner

Data Descriptor
137 Citations
36,372 Views
10 Pages
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A Dataset of Scalp EEG Recordings of Alzheimer’s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG
Andreas Miltiadous,
Katerina D. Tzimourta,
Theodora Afrantou,
Panagiotis Ioannidis,
Nikolaos Grigoriadis,
Dimitrios G. Tsalikakis,
Pantelis Angelidis,
Markos G. Tsipouras,
Euripidis Glavas and
Nikolaos Giannakeas
+ 1 author
Data2023, 8(6), 95;https://doi.org/10.3390/data8060095
-
27 May 2023
Recently, there has been a growing research interest in utilizing the electroencephalogram (EEG) as a non-invasive diagnostic tool for neurodegenerative diseases. This article provides a detailed description of a resting-state EEG dataset of individu...
Full Article

Award Committee

Jamal Jokar Arsanjani
Jamal Jokar Arsanjani
Chairman
Aalborg University Copenhagen
Giuseppe Ciaburro
Giuseppe Ciaburro
Faculty of Engineering and Informatics, Pegaso University
DMDavide Martinenghi
Davide Martinenghi
Politecnico di Milano
JWJuanle Wang
Juanle Wang
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Rüdiger Pryss
Rüdiger Pryss
University of Würzburg
Kesheng Wu
Kesheng Wu
Lawrence Berkeley National Laboratory