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Get the free Data Quality Statement - Perinatal Data Collection (PDC) (July 2012)

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Queensland Perinatal Data Collection File FormatStatistical Collections and Integration20152016Queensland Perinatal Data Collection File Format Published by the State of Queensland (Queensland Health),
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How to fill out data quality statement

01
Start by understanding the purpose and scope of the data quality statement.
02
Identify the key data elements that need to be included in the statement.
03
Determine the appropriate format for presenting the data quality information.
04
Clearly define the quality criteria for each data element, including accuracy, completeness, consistency, and timeliness.
05
Collect relevant data quality metrics and measures to support the quality criteria.
06
Provide a description or explanation of how the data quality is assessed.
07
Define any data validation or cleansing processes that are applied to ensure data quality.
08
Include information on any known limitations or constraints that may affect the data quality.
09
Review and validate the data quality statement with relevant stakeholders.
10
Update and maintain the data quality statement on a regular basis to reflect changes in data requirements or improvements in data quality.

Who needs data quality statement?

01
Data quality statements are needed by organizations or individuals who handle and manage data. This includes data analysts, data stewards, data quality managers, database administrators, data governance teams, and any other roles that are responsible for ensuring the accuracy, completeness, consistency, and timeliness of data. Data quality statements provide transparency and accountability for the quality of the data being used and help stakeholders make informed decisions based on the data's reliability.
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Data quality statement is a document that provides information on the accuracy, completeness, consistency, and reliability of the data being reported.
Organizations or individuals who are submitting data reports are required to file a data quality statement.
Data quality statement can be filled out by providing detailed information on how the data was collected, validated, and maintained.
The purpose of data quality statement is to ensure transparency and credibility of the data being reported.
Information such as data sources, data collection methods, data validation processes, and data maintenance procedures must be reported on data quality statement.
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