Submissions

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Author Guidelines

General Notes for Authors

A manuscript submitted to MerQur Journal of Data Science and Methods must explicitly apply at least one of statistics, mathematics, data analysis or modelling methods, and must be original and not previously published. Regardless of your discipline, the methodology must be clearly indicated in the title and abstract.

Article Types

  • Research Article — full text with original data/analysis (up to ~8,000 words)
  • Systematic Review / Meta-Analysis — compliant with PRISMA or equivalent guidelines (up to ~10,000 words)
  • Method / Software Note — introduction of a new analytical method or software tool (~5,000 words)
  • Short Communication — small-scale but methodologically interesting findings (~3,000 words)
  • Letter to the Editor — critique/commentary on a published article (~1,500 words)

Format and Presentation

  • File format: .docx or .rtf (PDF is not accepted)
  • Font: Times New Roman 12pt, double-spaced, 2.5 cm margins
  • Title, abstract (≤250 words) and 4–8 keywords must be provided in both Turkish and English
  • Tables and figures must be placed after the references, not inline
  • Citation style: APA 7

Required Sections

  • Introduction and literature summary
  • Methods (data source, sample, software and version, analysis steps)
  • Results (with appropriate graphs and tables)
  • Discussion and limitations
  • Conclusion
  • Ethics approval (where applicable)
  • Conflict of interest statement
  • Author contribution statement (CRediT-compliant)
  • Data / code availability statement

Data and Code Sharing

MerQur embraces the principles of open science. Whenever possible, authors are encouraged to share their dataset and analysis code in a persistent repository such as Zenodo, OSF, GitHub or an institutional archive; a DOI/link must be provided in the manuscript. If data cannot be shared due to ethical or legal constraints, the rationale must be stated explicitly.

Use of Artificial Intelligence

If generative AI (LLM) tools are used for writing, translation or coding support, the tool name, version and purpose of use must be explicitly stated in the "Methods" or "Acknowledgements" section. AI tools cannot be listed as authors.

Submission Preparation Checklist

All submissions must meet the following requirements. Unmet conditions may lead to rejection.

  • The study explicitly applies at least one of statistics, mathematics, data analysis or modelling methods.
  • The manuscript has not been previously published and is not under simultaneous consideration by another journal.
  • The file is in .docx or .rtf format.
  • All authors have approved the submission and the contribution statement is complete.
  • Title, abstract (≤250 words) and 4–8 keywords are provided in both Turkish and English.
  • The Methods section specifies the software and package names and versions used.
  • A statement on data and code sharing is included.
  • Ethics committee approval (if applicable) has been uploaded.
  • The conflict of interest statement is complete.
  • The use of generative AI tools (if any) is explicitly stated.
  • Citations and references follow the APA 7 style.
  • ORCID identifiers are provided for all authors.

Makaleler

Özgün veri ve analiz içeren tam metin makaleler bu bölüme gönderilir. En fazla yaklaşık 8.000 kelime

Systematic Review and Meta-Analysis

PRISMA veya eşdeğer rehberlere uygun yürütülen sistematik derleme ve meta-analiz çalışmaları için. En fazla ~10.000 kelime

Short Communication

Küçük örneklemli ama metodolojik olarak ilginç bulgular için kısa, hakemli bildirim. En fazla ~3.000 kelime.

Letter to the Editor

Dergide yayımlanmış bir makaleye eleştiri, yorum veya yanıt için. Sadece editöryal incelemeye tabidir. En fazla ~1.500 kelime.

Copyright Notice

Copyright Notice

The copyright of articles accepted for publication in MerQur Journal of Data Science and Methods remains with the author(s).

Authors agree that their articles will be published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license. This license permits others to share, adapt and use the article — including for commercial purposes — provided that appropriate credit is given.

Authors warrant that the article has not been published elsewhere, is not under simultaneous consideration by another journal, and that all potential conflicts of interest and ethics approvals have been declared at submission.

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