From the Editor-in-Chief:
This paper was part of Dublin Institute of Technology Regulatory Science Team requirements for granting the MSc. degree to Eliane Veiga. Congratulations, Eliane! Congratulations also to Dr. Nuala Calnan and Dr. Anne Greene of DIT!
Data integrity (DI) and data privacy (DP) challenges have received increased regulatory attention in recent years. When considering GxP applications, a robust approach to risk-based computerized system lifecycle management requires well-defined processes, use of a qualified infrastructure, validated design and deployment of software, qualified personnel, rigorous change management and version control. With the increased adoption of cloud-based applications in the life science sector, cloud computing solutions such as Software as a Service (SaaS), offer many advantages including enhanced cost-effectiveness, ease of implementation, and flexible, highly scalable platforms. However, assuring data integrity and data privacy in the cloud requires a well-informed, proactive approach by the regulated organization in planning and maintaining control of their data once it is hosted on the cloud provider’s site. This paper aims to examine the current regulatory expectations from the prospective of both data integrity and data privacy and proposes that when it comes to cloud computing, the most powerful tool organizations possess to assure data quality and security lies with their third party supplier contracts.
Recent developments in technology and communications have led to a whole range of new cloud computing IT models, which are transforming the way by which global business is transacted. Curiously, SaaS as a business model has been available since the 1960s when it was referred to as a ‘time sharing system’ (Bratten, 2012). However, more recently it has become known as a method of software delivery where a third-party provider hosts an application which enable consumers to work and access their data using a variety of different technologies connected to the internet, from a variety of different locations (Singleton, 2018). SaaS solutions eliminate the need for companies to manage their applications across their own device network and also reduces the burden of managing their growing data volumes in their own data centers. This offers companies an opportunity to eliminate the high-cost of hardware acquisition, maintenance, software licensing, installation and in-house technical support (Rouse, 2018).