A Novel Framework for Collaborated IT Project with the Consideration of Data Security and Privacy

Abstract

As a practical discipline, there are increasing demand for IT curriculum to incorporate hands-on projects from multiple collaborators include but not limited to internal research collaborators and external industry partners. For data-driven analytic and modeling types of projects whose popularity have grown exponentially in recent years, a key success factor of the projects is gain access to real data from different domains or sources. Being able to share sensitive data among collaborators securely and preserve the privacy of the data, have become a major challenge to many IT educators. In this paper, we introduce a layered framework, including Data Security & Privacy Policy Layer and a Model Building Layer to solve this emerging challenge. Besides benefiting the IT education in project collaboration, the proposed framework could also be easily extended to other data sharing and exchanging projects involving multiple parties in real-life IT practices.