We all know that the data management field has revolved around and depended on some key artifacts. Data models, repositories, taxonomies are all well-known deliverables. The importance of these artifacts is not questioned. The prioritization, tools, and use are evolving.
Join Kelle and John a discussion of how the creation, management and use of the key artifacts for EIM and DG are evolving. We will cover:
•Role of data models
•Meta data approaches
•New categories of tools and new artifacts
•New applications of old stand bys