Essential Measures for Effective Data Sharing PPT

This PPT slide, part of the 35-slide FEAF: Data Reference Model (DRM) PowerPoint presentation, outlines key measures for tracking the Data Reference Model (DRM) process, emphasizing the importance of clear metrics in data sharing initiatives. It presents a structured approach to evaluating data quality through 7 distinct categories, each highlighting a critical aspect of data management.

The first measure, "Discovered," focuses on the accessibility of data, ensuring that it can be easily located when needed. This is foundational for effective data utilization. The second measure, "Identified," stresses the necessity for data to be semantically reliable, which means that the information must be rational and understandable in context.

"Standardized" refers to the syntactic and structural reliability of data, indicating that data should conform to established formats and protocols. This is essential for seamless integration across systems. The fourth measure, "Reused," highlights the importance of data being applicable across various domains, which helps minimize redundancy and enhances efficiency.

The fifth measure, "Trusted," underscores the need for data to be reliable, fostering confidence among users. "Good Quality" is the sixth measure, which emphasizes that data should not only be trustworthy, but also align with compliance and operational standards across different business processes.

Lastly, "Protected" addresses the security aspect, ensuring that data sharing occurs without the risk of leaks or infringements. Each of these measures contributes to a comprehensive framework for evaluating and improving data sharing practices, making it clear that organizations must prioritize these factors to optimize their data management strategies.

This slide is part of the FEAF: Data Reference Model (DRM) PowerPoint presentation.

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