Designing Data Models for Asset Metadata

The Media Asset Management System (MAMS) stores digital data and metadata used to support the mission of a company. In essence, the MAMS is similar to a traditional database with its entities and attributes but with added features such as media streaming, media transfers, and workflow dynamics. In fact, some vendors' MAMS solutions use commercial databases to store the metadata and provide the ability to optimize the database to increase the MAMS search performance. They may also provide basic data models for assets that can be used immediately in the design or enhanced to meet specific needs. However, in almost all cases there may be a need for the creation of new data models that will require skills in some form of data modeling. This paper presents an overview of how data models can be used to define asset metadata and ultimately support a company's mission. This paper is not intended to present the complex theories of data modeling, but rather uses basic data modeling techniques to show how data models can be designed for asset metadata.

Published

2001-02

Content type

Original Research

DOI

10.5594/M00365

ISBN

978-1-61482-934-8