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
An important initial goal is to connect users to existing literature that includes quality information. This should be done at the collection level using standaloneQualityReports. A complete report includes a description of the scope of the quality information with spatial and temporal extent information, an abstract, and a complete citation.
Conceptual Model
This Figure shows an overview of the data quality information included in the ISO 19157 standard. The elements are:
Scope: quality information can be provided at many different level of detail from an entire series down to specific attributes in particular regions or time periods. The scope attribute lets users know what the current information pertains to.
StandaloneQualityReport: quality information exists in papers and reports that are already part of the scientific literature. Users can find this information using citations included in the metadata record.
Report: quality reports hold the bulk of the structured quality information in the metadata record. They describe the quality measure, how it was applied, and the result of the application.
An overview of the complete data quality standard is also available.
Scope:
The DQ_Scope object enables a complete description of the scope of a data quality report whether it pertains to a complete data series or to a particular temporal and spatial extent for a particular parameter in a dataset.
Level:
The level element of the scope provides a general description of the scope using a codelist of standard terms. The level can be used in an initial search of the quality information to answer questions like "what kinds of quality information are available for this collection or granule".
attribute | dimensionGroup | model | aggregate |
attributeType | feature | tile | product |
collectionHardware | featureType | metadata | collection |
collectionSession | propertyType | initiative | coverage |
dataset | fieldSession | sample | application |
series | software | document |
|
nonGeographicDataset | service | repository |
|
In some cases, the general description provided by the codelist is not enough. In those cases the levelDescription can be used to provide more detail. For example, the scope code might be "attribute", indicating that the report concerns an attribute of the dataset, and the levelDescription would provide the name(s) of the specific attributes covered, i.e. precipitation rate.
Implementation (XML)
Implementation (NcML)
Usage
Crosswalks
Notes
Overview
Content Tools