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I need to provide information about the quality of my data and how it was measured.

Overview


A principle goal of metadata is to ensure that the data they describe can be independently understood and used effectively. Data quality measures and reports play a critical role in achieving this goal. Connecting these to the metadata record is clearly important. 

The approach to including quality information in ISO 19115 metadata records is similar to the approach used in ECHO and improves on it considerably. It includes the capability to describe quality measures that are used and the techniques used to apply them. Understanding how to take advantage of this flexibility and implementing systems that maximize the value that this capability provides will certainly be a challenge for the environmental data community.

The Data Quality Section of the ISO standard supports flexibility at several levels. The DQ_Data_Quality object (see Figure) includes two sections: scope, and element. A metadata record can have any number of associated DQ_DataQuality objects.

Presentations available that describe the ISO data quality standard and compare it with the DIF and ECHO approaches.

Recommendations


Conceptual Model


This section describes the UML structure of the quality metadata

Implementation (XML)


Implementation (NcML)


Usage


Crosswalks


Notes


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