Archiving Policy

The Journal of Artificial Intelligence and Data Analytics (JAIDA) is committed to the long-term preservation, accessibility, and reliability of all published scholarly content in artificial intelligence, data science, and advanced analytics.

All published articles are permanently archived in digital format and remain freely accessible online. The journal ensures that all content is securely stored and maintained to prevent data loss and to guarantee continuous access for the global research community.

Digital Preservation

To ensure long-term preservation, the journal follows established digital archiving practices, including secure servers, regular backups, and systematic content management. These measures safeguard the integrity and availability of all published research over time.

Article Identification and Accessibility

Each published article is assigned a permanent Digital Object Identifier (DOI), ensuring stable citation, discoverability, and long-term accessibility. Articles are made available in downloadable PDF format for ease of use and global distribution.

Indexing and Repository Support

The journal supports indexing in scholarly databases and encourages dissemination of published research through institutional repositories and academic platforms. This enhances visibility, citation potential, and academic impact.

Author Self-Archiving

Authors are permitted and encouraged to deposit their published articles in institutional repositories, personal websites, or academic networking platforms, provided proper citation and acknowledgment of the original publication in the Journal of Artificial Intelligence and Data Analytics is maintained.

Platform Continuity

In the event of system upgrades, migration, or technical changes, all archived content will be securely transferred to ensure uninterrupted access and continuity of the scholarly record.

Commitment

Through this archiving policy, the Journal of Artificial Intelligence and Data Analytics reaffirms its commitment to open access principles, long-term preservation, and the global dissemination of high-quality research in AI and data analytics.