Accuracy

Has the data been subject to any quality assurance processes? ie Checking for errors at each stage of data collection and processing, or verifying data entry and making corrections if necessary.

Where can the user find out more about the quality assurance processes?

What was this data designed to measure, monitor or report?

Did the data collection meet the objectives of the primary user? ie Does the data correctly represent what it was designed to measure, monitor or report?

Are there any known gaps in the data? For example: non-responses, missing records, data not collected.

Are known gaps identified in caveats attached to the dataset or data source?

Briefly describe gaps in the data and enter appropriate caveats or provide a link to more detailed information.

Have there been any adjustments, changes or other factors that could impact the validity of the data? For example: weighting, rounding, de-identification of data; changes or flaws in data collection or verification methods.

Are these adjustments, changes or other factors identified in caveats attached to the dataset or data source?

Briefly describe which data items were adjusted, why and how. Describe any changes or other factors that could impact validity and enter appropriate caveats or provide a link to more detailed information.

What is the revision policy for this dataset or data source?

Briefly describe the data revision policy. Explain how often revisions are produced or disseminated.