Metadata Management

The Metadata Catalogue is a toolkit for creating, sharing, and updating data models.
Data models are descriptions or specifications of data artefacts, objects, or implementations. A data model may describe or specify: a dataset or database holding data of interest; a request for data from a collection of databases or datasets; a standard for developers to work to; a form used for data entry; a message carrying data from one system to another; a report offered or required; a work flow or pathway in which data is collected and used.

Advantage

A data model will be simpler than the artefact it describes. It need not consider every aspect of the artefact or implementation, only the data items of interest and the relationships between them.

A data model will be more comparable. It is easier to compare data models, written in a single modelling language, than to compare artefacts implemented using a range of different technologies.

A data model will be more re-usable. It is safer to produce a new artefact by copying parts of a model than by copying parts of the existing implementation. There are additional advantages - cost, consistency - if the new artefact can be generated automatically.

Automation

Automatically import data models from XML Schema, relational databases such as PostgreSQL, MS SQL Server and OracleDB

Export documentation in MS Word, MS Excel, or JSON formats. Export software artefacts or configuration such as XML Schema or DDLs for relational databases.

Automatically link data definitions in the catalogue, and use our powerful searching tools to find the data definitions you require.