Arab International Journal of Information Technology and Data

A peer-reviewed, quarterly research journal

The journal’s scope is to:

• Strengthen intellectual ties and dissemination of scientific culture between Arab and foreign researchers and maintain effective communication among them.

• Find strong channels of communication among people who work in the technological fields and who use technology and data science in all types of information institutions.

• Increase and improve the level of education and research on the uses of information technology and connect it with various institutions using the latest technological methods to find the best results of these studies and researches.

Journal Sections:

The journal includes three main sections and peer-reviewed scholarly/scientific research in Arabic, English, and French. The journal contains the following sections:

Research and Studies:

It includes peer-reviewed scientific papers in all fields of information technology and data in all types of information institutions. The research papers must have a clear vision and purpose and adoption of applicable research methodology and approaches, and results of the paper should be innovative and original to the field in addition of the importance of documenting the list of references and resources and ensuring resources are up to date.

Scholarly reviews and book and theses reviews:

It includes scholarly reviews in the disciplinary subjects of interest to the journal and new publications in the field in addition to graduate theses and dissertations published recently in different universities worldwide, especially in the Arab region.

Announcement and Upcoming events:

In this section, viewing conferences and symposium reports that are being held in the field and announce the upcoming conferences, symposiums, meetings, etc…. It also includes the new terms in the field of information technology and data science and their uses in information institutions.

List of topics covered by the Journal

• Information Technology

• Big data

• Expert systems

• Information networks

• Automated use in libraries