Data Science and Management

Aims & Scope

Data Science and Management (DSM) is a peer-reviewed open access journal for original research articles, review articles and technical reports related to all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management.

DSM was launched in 2021, and published quarterly by Xi'an Jiaotong University.

Current areas of interest include, but are not limited to: • Machine learning and intelligent management • Data mining and business analytics • Data statistics and decision making • Intelligent computing and algorithms • Data-driven management decisions • Data-based policy evaluation • Business intelligence • Business data science • Digital economy • Data quality and data privacy • Data and knowledge management • Enterprise digital management • Cyberspace management • Data security management • Smart city management • Smart society management • Digital engineering management • Data visualization • Data-driven intelligent system management • Data science applications About the Journal: The journal has a distinguished editorial board with extensive academic qualifications, ensuring that the journal maintains high scientific standards and has a broad coverage.

DSM seeks to publish original, high quality, peer-reviewed papers including original research articles and reviews as well as technical reports.

Submission would be encouraged on all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management.

The aim of this journal is to become a highly respected and trusted resource of leading knowledge in this field and to promote worldwide academic exchange.

DSM is going to be an interdisciplinary forum opened to all professionals in the world.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Business, Management and Accounting, Computer Science and Decision Sciences, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Business, Management and Accounting, Computer Science and Decision Sciences, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.