Logical Data Modeling - (Metadata|Descriptor)

About

Metadata are data about data. They are data that describes other data.

Metadata is also known as:

• Descriptor.
• Ancillary data

Metadata is information stored in the data dictionary about components of the data model.

In the SQL specification, they write that the descriptor of an object represents everything that needs to be known about the object.

By adding metadata to your resource, you create a graph object

Articles Related

Example

The prototypical example of metadata is the library catalog, which is a description of the contents of books.

Protocol

• on the internet, see protocol

Format

• Dataset Publishing Language DSPL is a data and metadata format designed from the ground up to support interactive visualizations like those in the Google Public Data Explorer.
• Data Package
  • Resources Description (ie file/locator): https://frictionlessdata.io/specs/data-resource/
  • Metadata: https://frictionlessdata.io/specs/table-schema/
  • Example: https://github.com/datasets
  • Implementation: https://frictionlessdata.io/specs/implementation/
• Metadata Vocabulary for Tabular Data, W3C Recommendation
  • File: http://example.org/tree-ops.csv
  • Metadata; http://example.org/tree-ops.csv-metadata.json

This format are used in the distribution of data set

Logical

• Microsoft BI and DB
• Oracle Metadata use MIMB

Documentation / Reference

• wiki/metadata for each page.