Data Quality Policy

Users

All users are encouraged to report errors and submit information through existing Platforms. All platforms (including www.mycommunitydirectory.com.au and www.mycommunitydiary.com.au are required to provide users an authorised way to provide feedback and notify of incorrect information.

Community Organisation Members

Data Managers and Analysts – Staff members that manage or analyse data will:

• address Data Quality Issues with the appropriate stakeholders as they are identified;
• promote data quality and embed best practice into work practices;
• ensure that relevant data standards are applied;
• ensure that data are appropriately sourced and documented;
• provide guidance on data quality Issues and problem resolution;
• review and report on data quality including completion and use of data quality statements;
• conduct root cause analysis of data issues; and
• identify ways to improve data collections and data assets proactively.

Data Quality Officers  (administrator privileges)– Staff members who have designated data quality functions as part of their role will be considered to be Data Quality Officers and will:

• assess and provide reports on compliance with the data quality framework;
• assist in data quality studies or ad hoc data quality reporting or initiatives;
• assist in the development of data quality infrastructure, strategy, and policy;
• provide feedback to System Trainers to help develop best practice; and
• assist in root cause analysis of data issues.

Community Network Members

Administrative staff – Staff members that capture or use data must:

• ensure data are captured and validated at the point of contact;
• respond to any Data Quality Issues raised by the member;
• ensure data are correct, current and complete;
• ensure data are entered as close to real-time as possible;
• report Data Quality Issues as they are identified to the appropriate manager;
• escalate Data Quality Issues to [email protected]
• participated in data quality education activities; and

address feedback regarding data quality from management and participate in the resolution of issues as appropriate.

LGA Members

Administrative staff – Staff members that capture or use data must:

• ensure data are captured and validated at the point of contact;
• respond to any Data Quality Issues raised by the member;
• ensure data are correct, current and complete;
• ensure data are entered as close to real-time as possible;
• report Data Quality Issues as they are identified to the appropriate manager;
• escalate Data Quality Issues to [email protected]
• participated in data quality education activities; and
• address feedback regarding data quality from management and participate in the resolution of issues as appropriate.

Government Members

Executives – All Senior Executives and Executive Directors are expected to:

• lead and promote the development of a data quality culture throughout their area of management

Managers – Staff with a supervisory role should:

• ensure that business units adhere to the data quality framework and policies; 
• provide the necessary resources to manage data quality;
• encourage a data quality component at the start of initiatives and projects from their commencement;
• provide direction and prioritise quality improvement of data assets; and
• ensure staff members are appropriately trained to fulfill quality responsibilities.

Platform Provider

System Administrators - Staff members with a system administration role will:

• address Data Quality Issues with the appropriate stakeholders as they are identified;
• ensure system documentation and metadata meet the data quality framework and data governance framework criteria; and
• work with the appropriate business units to ensure metadata correctly reflects system fields and data elements.

Platform Administrator

ICT Personnel –Staff members providing ICT support will:

• address system related Data Quality Issues with the appropriate stakeholders as they are identified;
• address system issues in a timely manner and ensure that stakeholders are identified of issues that may impact data quality; and
• identify ways to improve data source information systems using the data quality improvement cycle.