The Veri Bilimi Journal is an international, peer-reviewed, open-access academic journal that publishes original research articles on data-driven methods in the fields of science and engineering.
The journal focuses on theoretical and applied studies contributing to the development and implementation of data science techniques, including machine learning, artificial intelligence, statistical modeling, big data analytics, data mining, computational methods, and data-driven engineering applications. It supports interdisciplinary research and promotes data-oriented approaches for solving scientific and engineering problems.
All submissions undergo a double-blind peer-review process and are evaluated in terms of originality, scientific quality, and methodological rigor. The journal follows internationally recognized ethical publishing standards and operates in accordance with the principles of the Committee on Publication Ethics (COPE).
The journal is an open-access journal, and all published content is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). No submission, evaluation, or publication fees are charged to authors.
Journal Identity Information
Journal Title: The Veri Bilimi Journal
Original Title: Veri Bilimi Dergisi
Abbreviation: Veri Bilimi Derg.
e-ISSN: 2667-582X
Language: Turkish and English
Publication Type: International, peer-reviewed, open-access academic journal
Peer Review Model: Double-blind peer review
Publication Frequency: Biannual (June and December)
Year of Establishment: 2018
Publisher: Dergipark
Editor-in-Chief:
Prof. Dr. Murat GÖK