A Data Quality Policy (DQP) is an element of a data quality management system. In this factsheet, it is highlighted from different angles.
Data quality policy is the intention and direction of an organisation as formally expressed by its management about data quality.
The purpose of a DQP is giving direction to decisions and measures that affect data quality.
|Plan|| * To develop and document de DQP.
* To establish the DQP by management.
|Do||* To communicate the DQP available to all stakeholders.|
|Check|| * To monitor the DQP.
* To periodically evaluate the DQP.
|Act||* To adjust the DQP by management.|
Characteristics and requirement of a DQP are:
|Consistency||The DQP Is consistent with data governance policy and strategic objectives|
|Appropriateness||The DQP fits the purpose and context of the organisation.|
|Currency and completeness||The DQP Is up to date and complete.|
|Clarity||The DQP Is described both clearly and comprehensibly.|
|Availability||The DQP Is available to all stakeholders.|
Relationships with other elements are:
A DQP contains the following subjects:
The next sections show fragments of some DQP’s.
It is vital that the systems used to collect, store, and calculate performance information:
All systems need to be checked and tested regularly
It is acknowledged that on occasions, data quality issues such as errors or omissions will be identified. It is imperative that where this is the case, they are reported to the relevant Information Asset Owner, who will be responsible for identifying trends in data quality issues and taking steps to amend processes to reduce any margin for error.
Teams should have comprehensive procedures in place for identifying and correcting data errors, such that information is accurate and reliable at time of use.
All data should be subject to internal and external audits if deemed necessary.
The CCG recognises that reliable information is fundamental in supporting the CCG to achieve its goals. The CCG recognises that all the decisions, whether clinical, managerial, or financial need to be based on information which is of the highest quality.
DAMA (2017). DAMA-DMBOK. Data Management Body of Knowledge. 2nd Edition. Technics PublicationsLlc. August 2017. Chapter 13.6.1 Data Quality Policy.
Data Quality Policy - Braintree District Council
Data Quality Policy - Imperial College London
Data Quality Policy - Isle of Wight NHS Trust
Data Quality Policy – Nothern Island Fire & Rescue Service
Data Quality Policy - Rackcdn.com
Data Quality Policy - WA HealthCCG Data Quality Policy 2017-18 - Cambridgeshire and …
How to create a data quality policy - Data quality pro. (2018, May 6). Data Quality Pro. https://www.dataqualitypro.com/blog/how-to-create-a-data-quality-policy
Members of the Work Group Data Quality of DAMA-NL.