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The concept of Data Value Chain (DVC) involves the chain of activities to collect, manage, share, integrate, harmonize and analyze data for scientific or enterprise insight. For some applications, it also entails the leverage of visualization and simulation. However, the curse of big data (volume, velocity, variety) makes it difficult to efficiently handle and understand the data in near real-time. To address these challenges, this paper proposed the Data Value Chain as a Service (DVCaaS) framework, a data-oriented approach for data handling, data security and analytics in the cloud environment.