Guideline 19. Data quality management

Submitted by Anonymous (not verified) on Tue, 07/10/2018 - 09:46

The institution carries out unified and formalized data quality management, enabling it to improve the reliability of data and information used in the institution and, therefore, confidence in related processes.

As data is a key asset for social security operations, managing its quality becomes a required activity. The goal of data quality management is to formally and rigorously manage the data quality attributes that are relevant in social security operations.

Guideline code

ICT_02500

Mechanism

The ICT unit, with the assistance of specialized units, should specify and implement a framework defining processes, procedures and duties for managing data and information quality. All the different scenarios of ICT services applicable in the institution should be taken into account (e.g. internal services, outsourced services, internal and external access to information). This includes the following activities:

Specifying data quality requirements;
Profiling, analysing and assessing the quality of existing data;
Specifying a data quality measurement model (metrics, dimensions, etc.);
Specifying data quality business rules to be implemented in information systems;
Correcting data quality defects;
Continuously measuring data quality;
Defining procedures for managing data quality issues.

Preventative measures should be implemented, especially by communicating data quality requirements to the data development and operations teams and data entry staff.

Parent

A. Governance and Management

Structure

The board, with the assistance of the management, should issue a policy statement on the adoption of a systematic, clear and effective approach for the management of data and information quality.
The management should commission the ICT unit to design a management framework for data and information quality, defining the procedures and duties involved.
Specialized organizational structures should be established to manage data and information quality processes. To establish accountability, the roles and responsibilities of the units within that structure have to be well defined and documented.
The contracts administration office should include these internal regulations and specifications in requests for proposals, contract documents and service level agreements.
The framework for data and information quality should follow the institution’s governance rules, ICT and data governance framework and strategic plan, and be based on international practices (e.g. ISO 8000 and DAMA-DMBOK).

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