Overview
1. You can download our journal's article template (📝 Veri-Bilimi-Template.docx ) and copyright transfer form (📝 Copyright-Transfer-Agreement.docx ) from the links. After completing the copyright form, please convert it to PDF format and upload it to the journal's system.
2) The submitted manuscript must not have been published or submitted as an abstract or full text in another journal or conference proceedings book.
3) Before proceeding to the evaluation stage, the article study undergoes both textual similarity and AI-based spelling analysis. The similarity rate with another article (including your own work) can be a maximum of 20%. The similarity rate for AI-based spelling analysis is also a maximum of 20%. Articles with similarity rates exceeding these values will be rejected without being considered for evaluation.
4) After the article is accepted for publication, the corresponding author must upload the "Copyright Transfer Form," which includes the names and signatures of the other authors, to the journal's website via Dergipark.
5) Manuscripts in our journal are evaluated using a blind peer review process. The decision on the article study is made by the relevant field editor after receiving the opinions of at least two reviewers.
6) Manuscript title abbreviations should be made using Web of Science abbreviations.
Article Preparation:
Please prepare your work by considering the journal template (📝 Veri-Bilimi-Template.docx ).
Mandatory Headings in the Article:
1. Abstract: A short summary emphasizing the innovations of the study and showing its main findings should be given in this section. Cambria font should be used in writing the article text. The abstract text should be justified and should be 10 points. The abstract should be between 100 - 350 words and should not contain uncommon abbreviations or quotations. Five keywords should be given.
2. Abstract (Turkish Abstract): The full Turkish translation of the English abstract text.
3. Introduction: All texts except the abstract and summary should be in double columns. The introduction is the text section where the subject and problem addressed by the study are stated, the purpose and importance of the research, its limitations are stated and this information is supported by a literature review.
4. Material and Method: This is the section where all the experiments/observations and efforts made to conduct the study and reach a conclusion are stated.
5. Findings and Discussion: This is the section where the study is discussed in terms of similarities, parallels and differences with previous studies.
6. Conclusion: This is the section where the contribution of the study to scientific/daily life, what it has added to the literature, and what conclusions have been reached in terms of theory and practice are written.
7. Data Availability: This section describes the accessibility of the data supporting the findings of the study. It states that data can be submitted via GitHub/Zenodo or upon request. If no data was used in the study (compilation, etc.), "Not applicable" is written in this section.
8. Acknowledgments: This section lists the individuals/organizations that contributed to the study.
9. Author Contributions: This section details the contributions of the article's authors to the creation of the article.
10. Conflict of Interest (if any): This section lists individuals/organizations with whom there may be a conflict of interest related to the study.
11. References: This is the section where the scientific books/journals/web pages/visual and written materials used in the study are specified. References should be in APA format. Some examples for references are given below:
[1] Cengiz, E., & Gök, M. (2025). Anti Money Laundering in Bitcoin Network Using Chaotic Time Series and Graph Convolution Network. Journal of Universal Computer Science, 31(11), 1175.
[2] Haupt, R. L., & Haupt, S. E. (2004). Practical genetic algorithms. John Wiley & Sons.
[3] Poore, J. H., Lin, L., Eschbach, R., & Bauer, T. (2012). Automated statistical testing for embedded systems. In J. Zander, I. Schieferdecker, & P. J. Mosterman (Eds.), Model-based testing for embedded systems (pp. 111–146). CRC Press.
[4] Yeğen, B., Önöz, B., Altıparmak, B., Bilen, O., & Pala, M. (2010, September 22–24). Determination of the seasonality of floods in the Euphrates, Yeşilırmak, and Kızılırmak basins [Conference presentation]. Sixth National Hydrology Congress, Denizli, Turkey.
[5] Korkut, F. G. (2022). Prediction of interactions between SARS-CoV-2 protein and human proteins using machine learning methods [Master's Thesis, Yalova University]. Council of Higher Education National Thesis Center.
[6] Diament, P., & Lupatkin, W. L. (1991). V-line surface-wave radiation and scanning (Scientific Report No. 85). Department of Electrical Engineering, Columbia University.