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data_management:data_quality:data_quality_policy

Data Quality Policy

Introduction

A Data Quality Policy (DQP) is an element of a data quality management system. In this factsheet, it is highlighted from different angles.

Definition

Data quality policy is the intention and direction of an organisation as formally expressed by its management about data quality.

Purpose

The purpose of a DQP is giving direction to decisions and measures that affect data quality.

lifecycle of a Data Quality Policy

Phase Activity
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 requirements

Characteristics and requirement of a DQP are:

Characteristic Requirement
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

Relationships with other elements are:

  • A DQP is part of the Data Quality Management System.
  • A DQP provides a framework for setting Data Quality Objectives (KPI’s).
  • A DQP of an consumer can be input for a Data Suppliers.
  • Stakeholder Analysis is considered while managing DQP.
  • A DQP is input for the procedure to manage Critical Data Elements.
  • Awareness of Data Quality guides DQP.

Content

A DQP contains the following subjects:

  • Importance of data quality
  • Purpose of the data quality policy
  • Scope of the data quality policy
  • Relationship with the strategic objectives of the organisation
  • Applicable laws and regulations and company decisions
  • Critical data and dimensions of data quality that have priority
  • Policy statements about areas that contribute to data quality such as people, processes, IT, agreements, and documentation.
  • Roles and responsibilities about data quality
  • Procedure to monitor the policy
  • Procedure to evaluate and adjust the policy

Additional content

  • Historical context
  • Roadmap for implementation
  • References
  • Definitions of terms
  • Document version
  • Management that established the latest version of the policy

Examples

The next sections show fragments of some DQP’s.

Fragment 1: Braintree District Council

It is vital that the systems used to collect, store, and calculate performance information:

  • are accurate and
  • any faults or errors are identified.

All systems need to be checked and tested regularly

Fragment 2: Isle of Wight – NHS Trust

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.

Fragment 3: NHS Leeds

All staff

  • should be aware of the importance of good data quality and their own contribution to achieving it, and
  • should receive appropriate training to data quality aspects of their work.

Teams should have comprehensive procedures in place for identifying and correcting data errors, such that information is accurate and reliable at time of use.

Fragment 4: Imperial College London

All data should be subject to internal and external audits if deemed necessary.

Fragment 5: Cambridgeshire and Peterborough Clinical Commissioning Group (CCG)

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.

References

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

ISO 9000:2015.

ISO 9001:2015.

Authors

Members of the Work Group Data Quality of DAMA-NL.

data_management/data_quality/data_quality_policy.txt · Last modified: 2022/03/08 19:49 by rene