The Smyrna Journal of Natural and Data Sciences is a journal aimed at contributing to the theoretical and experimental literature in the fields of natural and data sciences. It is published twice a year, in June and December.

The Smyrna Journal of Natural and Data Sciences (SJNDS) publishes scientific studies that present original content, offering captivating material for readers in fundamental sciences and data science. These works explore new research areas or provide fresh perspectives on existing fields, address critical problems, or take significant steps toward solving them, with topics examined comprehensively and in detail.

To achieve this purpose, academic studies prepared in English are accepted for scientific review. SJNDS generally invites research articles in computer science, biology, physics, statistics, chemistry, mathematics, and data science. Additionally, subfields of these disciplines and interdisciplinary studies related to them are also welcome. Special issues are published in conjunction with symposia, congresses, and similar events organized within the journal's scope.

Manuscripts outside the journal's scope or those with ethical issues are rejected without peer review. The following types of studies in the research areas defined above may be published electronically within the journal:

- Research Articles
- Review Articles
- Short Communications
- Case Studies

Period Months