Part I. Metadata Repositories for IT, Data, Information, and Knowledge Management
In Part I, we’ll take a look at what characterizes metadata and metadata repositories.
Chapter 2 explores metadata beyond traditional data management literature, drawing insights primarily from LIS as well as from enterprise architecture and relevant theoretical literature. This opens a more holistic perspective on metadata management, its repositories, and its potential. It also presents the data discovery team and the meta grid.
Chapters 3, 4, 5, and 6 describe metadata repositories for IT, data, information, and knowledge management, respectively. While the discussed repositories are common in these disciplines, they do not constitute an exhaustive representation of all existing metadata repositories. The purpose of metadata repositories keeps expanding with new innovations, especially in AI, as well with new regulations and operational requirements that emerge as technology evolves.
Chapter 7 explores the interplay and overlap of metadata repositories and discusses why this has not been addressed in organizations. It serves as a bridge to Part II about the data discovery team, which can solve exactly this challenge.
Now, let’s examine what metadata and metadata repositories are.
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