Special Issue on Data Technology And Management

Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization. Effective data management is a crucial piece of deploying the IT systems that run business applications and provide analytical information to help drive operational decision-making and strategic planning by corporate executives, business managers and other end users. The goal of this special issue is to provide a platform for scientists and academics all over the world to promote, share and discuss various new issues and developments in Data Technology And Management.

In this special issue, we invite front-line researchers and authors to submit original research and review articles that explore Data Technology And Management. In this special issue, potential topics include, but are not limited to:

• Data Science
• Business Intelligence
• Data Warehousing
• Data Mining
• Big Data Analytics
• Machine Learning
• Data Governance
• Data Quality Management
• Data Integration
• Data Security and Privacy
• Data Architecture
• Data Visualization
• Advanced Analytics
• Cloud Computing for Data Analytics

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly specify the “Special Issue” under your manuscript title. The research field “Special Issue - Data Technology And Management” should be selected during your submission.

Special Issue timetable:

Guest Editor:

For further questions or inquiries

Please contact the Editorial Assistant at

wjet@scirp.org