About the Journal

The Transactions on Data Science with Applications (TDSA) is an international scholarly open access, interdisciplinary, fully refereed, and quarterly free of charge journal as a non-commercial publication. The publication start year of TDSA is 2026. All submitted manuscripts are checked for similarity through a trustworthy software named iThenticate to be assured about its originality and rigorously peer-reviewed by the international reviewers (The similarity rate must be below 20%).

The Transactions on Data Science with Applications (TDSA) is an international, peer-reviewed, interdisciplinary journal that publishes original work on the methods, technologies, and applications of data science. The journal provides a forum for researchers and practitioners working across computer science, statistics, mathematics, engineering, management, and other data-intensive disciplines.

TDSA considers original research articles, review articles, case studies, and technical notes addressing the data science lifecycle, from data acquisition and preparation to modelling, evaluation, interpretation, visualization, and decision-making. Its scope includes “statistical learning”, “machine learning”, “artificial intelligence”, “data mining”, “big-data analytics”, “deep learning”, “predictive and prescriptive analytics”, “optimization”, “data engineering”, “databases”, “cloud and distributed computing”, “natural language processing”, “computer vision”, “explainable artificial intelligence”, and “data-driven decision support”.  Application-oriented studies may come from engineering, manufacturing, healthcare, finance, business, transportation, energy, environmental systems, the social sciences, and related fields.

Established in 2026, TDSA is published online in four issues per year, with accepted articles made available continuously. It operates as a free-to-read and free-to-publish open-access journal. Published articles are distributed under the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/). All submissions undergo editorial assessment and independent peer review, and manuscripts are screened for originality and compliance with the journal’s publication-ethics policies.

All the Original, Application, short case, and case study documents submitted to the BDCV are published free of charge and there is no article submission charge.