This article gives us the complete context of what governance means, considering the data lifecycle (create, store, use, etc.) and the cognitive hierarchy of data, information, knowledge, understanding, and wisdom. The authors also look at the elements contained in a formal data model and what these elements tell us about the governance actions that need to be taken when data is accessed, modified, or deleted.
Article
Challenges of the Current and Future State of Data Governance
Posted October 3, 2018 | Leadership | Technology | Amplify
About The Author
Robert “Nick” Stavros has almost 50 years’ experience in the computer science domain, applying his skills to teaching, creating, designing, and maintaining databases for private industry and government projects in building centralized, decentralized, and distributed systems. Dr. Stavros is familiar with taxonomy, semantics, and ontologies, and has been an active member of the Object Management Group (OMG) for 15 years. He holds a bachelor of… Read More
Ian Stavros is an expert in Web-enabled distributed database systems (DDS) and is one of the youngest members of the Object Management Group (OMG). Recently, he was a principal in a Phase 1 DARPA SBIR, investigating the use of blockchain technologies within the government, which resulted in OMG’s Distributed Immutable Data Objects (DIDO) Reference Architecture. Mr. Stavros was instrumental in the investigation and development for a proof of… Read More
Bryan Turek is a software engineer who consults on software and system architectures. His background consists of work related to distributed peer-to-peer architecture, distributed database systems (DDS), and big data processing and analytics, with experience working in professional environments within the aerospace and consulting industries. Mr. Turek is a member of the Object Management Group (OMG) and has presented work related to DDS at… Read More
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