Procedure: Data Governance
The purpose of this procedure is to operationalise the Data Governance Policy by defining the roles, accountabilities and responsibilities and information and data management lifecycle.
A complete list of definitions relevant to this procedure is contained within the Data Governance Policy, or as set out below:
Master data means data about the business entities that provide context for business transactions. It is the authoritative and most accurate data valuable and is used to establish the context for corporate data.
Reference data means data used to classify or categorise other data. It can include, but is not restricted to, status codes, state abbreviations, demographic fields, etc.
- The Data Governance Policy provides (in section 2, Figure 1) outlines the governance and ownership, management and operations of information and data across the strategic, tactical and operational areas of the University.
- This hierarchy of roles and responsibilities is further described in Table 1 below.
Information and Data Governance Roles, Accountabilities and Responsibilities
is a senior executive member of the University, accountable for an information and data portfolio (corporate, education and research). This includes responsible for overseeing the continuous improvement of institutional information, data governance, and for acting as executive champion of the institutional information and data portfolio.
Data Domain Steward
is a business unit or a person, delegated by an Executive Steward, and is accountable for a particular type of information and assuring the requirements of this policy and supporting policy documents are followed for their data domain.
Data Domains refers to high-level categories of institutional information and data which have been defined for the purpose of assigning accountability and responsibility for the data.
Data Domain Stewards are responsible for overseeing the capture, maintenance and dissemination of information for a particular organisational unit/system or cross-University data domain.
Data Domain Stewards are responsible for administering access to, and use of, the institutional data in their data domain.
Data Domain Stewards are a service division/ research school director or an equivalent administrative director of their portfolio.
Further details on the role of the data domain steward are in the Information and Data Classification Standard.
is a person with high-level knowledge and expertise in the content of information and data within their responsible area. Custodians are responsible for the processing and control of information and data and has operational responsibilities assisting Data Domain Stewards with day-to-day administration activities, including developing, maintaining, distributing and securing institutional information and data.
Custodians are system owner of information technology system in their responsible area.
is responsible for assisting the Custodian with either information system administration or information support responsibilities.
is an authorised staff or authorised agent who accesses, inputs, copies, amends, deletes, extracts or analyses information and data in order to carry out day-to-day duties.
Producers are responsible for the quality assurance of information and data in accordance with their access privileges, University policy and contractual arrangements.
is an authorised staff or authorised agent who may access and use information and data in order to carry out day-to-day duties.
Users are responsible for the quality assurance of information and data in accordance with their access privileges, University policy and contractual arrangements.
includes Legal, IT, records management, information security and privacy. The Data Governance Framework requires a cross-functional approach and brings together Support Partners from across the University and leverages their synergies to better govern and optimise information and data.
- The information and data management lifecycle is required to plan, create, manage, use, store, protect, improve and dispose of all information and data.
Information and Data Management Lifecycle
Plan for the capture, creation or acquisition of the information and data including how the following steps of the information and data’s lifecycle will be managed
Manage the information and data while it is held by the University using the following lifecycle steps:
Dispose or Preserve in line with policy and legislative requirements.
- The information and data dimensions and attributes of quality are used to manage data quality throughout the information and data management lifecycle:
Information and Data Quality dimensions
Information and data needed by the University is accessible and shared openly to generate greater business value, within existing controls and monitoring regarding information and data classification
Information and data is captured, updated and shared accurately
Information and data that is captured or shared is complete
Information and data is consistent with University enterprise standards
Fit for purpose
There is a clear business rationale to capture personal or sensitive information and data
The most current information and data is available for use when required
When measured against other information and data sets, there is only one entry of its kind
|Printable version (PDF)|
|Purpose||To define the data governance framework of the University, to help secure, quality assure and manage data.|
|Audience||Staff, Prospective Staff|
|Topic/ SubTopic||Governance & Structure|
|Effective Date||28 Oct 2022|
|Next Review Date||27 Oct 2023|
|Responsible Officer:||University Librarian and Director, Scholarly Information Services|
|Contact Area||Library, Archives and University Records|
Information generated and received by ANU staff in the course of conducting business on behalf of ANU is a record and should be captured by an authorised recordkeeping system. To learn more about University records and recordkeeping practice at ANU, see ANU recordkeeping and Policy: Records and archives management.