Open Access Policy

Karadeniz International Scientific Journal adopts open access principles that support the free circulation of scientific knowledge. By providing immediate and free access to all published content, the journal promotes the universality and transparency of science and the wider dissemination of research outputs.

The journal follows the Gold Open Access model.

Open Access Principles

• Free Access:
  All articles published in the journal are openly available online without subscription or access fees.
• Licensing:
  All content is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This license permits commercial and non-commercial use, sharing, and adaptation provided that proper attribution is given.
• Copyright:
  Authors retain copyright and grant the journal the right of first publication.
• Permanent Access:
  All published content remains permanently accessible on the journal?s online platform without any embargo period.
• Scholarly Collaboration:
  The open access policy aims to support international academic cooperation and interdisciplinary research.

International Principles and Reference Framework

The open access policy of Karadeniz International Scientific Journal is aligned with the principles of the Budapest Open Access Initiative (BOAI) and the Creative Commons licensing framework.

This approach facilitates the global dissemination of scientific knowledge, enhances academic visibility, and supports the circulation of research outputs to society at large.

Citation Data and Metric Transparency

Citation data and bibliometric indicators related to articles published in the journal are obtained from open data sources such as Crossref and OpenAlex in line with open science principles.

These data are updated regularly and rely on verifiable, transparent sources. Since the coverage and indexing criteria of databases may vary, citation counts may differ from values reported on other platforms.

Reading and Viewing Statistics

View and download statistics for articles published in the journal are generated automatically by the journal?s own infrastructure.

These data are calculated using technical information such as:

• IP address
• browser information (User-Agent)
• access time

Repeated views from the same IP address are counted as unique within defined time intervals in order to support data reliability.

The collected data are used solely for statistical purposes and are not linked to user identities. All data are stored within the journal system and are not shared with third-party analytics services.