Have standard definitions, common concepts, classifications and data recording practices been used?

Briefly describe the types of standards that have been used or where the user can find out more.

Briefly describe any non-standard or uncommon practices, why this approach was taken, likely impacts.

Is it possible to make meaningful comparisons across multiple data items within the same collection?

Describe anything that might affect the ability to compare multiple items within this dataset. For example: changes or differences in the way data is collected, classified or processed by different parties, or at different times.

Is this data generally consistent with similar or related data sources?

List other known data sources which report similar information. How does this data compare?

List any known sources or types of data with which this data cannot be meaningfully compared or combined, and why. For example: differences in scope or definitions.

Is this data a single, once-only collection, or is it part of a time series?

When was the data in this series first collected or produced?

Have there been significant changes in the way any data items are defined, classified or counted since the start of the series?

Describe any changes that could cause a break in the consistency of data items over time.

Are there any data collection exercises planned for the future?

Describe any data collection exercise that may be planned for the future.

Have there been any changes in data collection methodology or external events that have impacted the data since the last release in this series? For example: geographic boundaries, legislation, eligibility criteria, program parameters, events, disasters.

Describe any changes or events which have impacted the data since the last release.