Imagine data governance as the management of a vast water canal system. Just as water flows from its headwaters through ...

AI applications require good data to be effective. Consequently, universities and colleges are fine-tuning their data ...

However, this approach can result in data silos and fragmented governance, making it difficult to deliver on the promise of real-time, AI-powered insights that require data to flow seamlessly ...

Institutional data ... governance processes, policies, principles, structures and roles. A system for defining who within CU Boulder has the authority and control over data assets and how those data ...

In this modern era of rapid technological advancements and digital transformation, Amit Kumar explores the next generation of distributed system security in his latest work. His insights highlight the ...

Data Use Governance accelerates data enablement for AI initiatives with programmatic data policies, automated data controls, ...

Data governance is the process focused on managing the integrity, quality, consistency, security, and responsible use of the institution’s data. The primary role of the Data Governance Committee is to ...

Data Governance at ESF facilitates cross-unit collaboration to improve institutional data infrastructure and to ensure data integrity, security, and accessibility by establishing a set of data ...

Establishes the data governance infrastructure and provides a structured and consistent process to obtain necessary data access for conducting University operations (including administration, research ...