Metadatensteuerung

Metadatensteuerung refers to the management and control of metadata within an organization or system. Metadata, often described as data about data, provides context and meaning to raw information, making it more understandable, discoverable, and usable. Metadatensteuerung encompasses the processes, policies, and technologies involved in creating, maintaining, and utilizing metadata.

The primary goal of Metadatensteuerung is to ensure the quality, consistency, and accessibility of metadata. This involves defining standards for metadata creation, implementing validation rules, and establishing clear ownership and responsibilities for metadata assets. Effective Metadatensteuerung enables better data governance, supports data integration efforts, and enhances data analysis capabilities. It also plays a crucial role in compliance with regulations that require clear data lineage and understanding.

Key aspects of Metadatensteuerung include metadata profiling, metadata cataloging, and metadata lifecycle management. Metadata profiling involves analyzing existing data to understand its characteristics and generate metadata. Metadata cataloging is the process of organizing and storing metadata in a searchable repository, often called a data catalog. Metadata lifecycle management deals with the creation, updates, archival, and deletion of metadata throughout its existence.

Organizations implement Metadatensteuerung to improve data discoverability, reduce data redundancy, and ensure data accuracy. By providing a standardized way to describe and manage data, it facilitates collaboration among data users and promotes a shared understanding of the organization's data assets. Ultimately, robust Metadatensteuerung is essential for deriving maximum value from an organization's data.