Metadata management principles
Introduction
Metadata plays an increasingly critical role, not only in relation to managing an agencies internal information, but also as an enabler for sharing and re-use. Decision making, research, analytics, and information sharing all depend on reliable content, context and quality of information metadata is the key to providing this information.
The uses of metadata are evolving at its most basic, metadata is data about data but increasingly it provides a mechanism to do more than simply describe and curate information. In todays rich and complex information landscape where technology facilitates the capture of an ever-increasing volume and variety of information, the role that metadata plays in describing this information grows more important, particularly in the context of access and reuse. In the future, accurate, reliable and machine-readable metadata will underpin demands for Machine Learning, Artificial Intelligence and advanced analytics. Implementing effective metadata management will allow departments, organisations and the broader public to extend the use of Queensland Government information to derive insights, deliver services and develop new data driven opportunities.
These Metadata management principles are closely aligned with the Records governance policy, the Information access and use policy and the ICT profiling standard. They should be read in conjunction with the Information principles, in particular the sections outlining implications for agencies. Further information in relation to implementing these principles can be found in the Metadata lifecycle management guideline.
Purpose
The Metadata management principles are a set of ambitions or values that accountable officers should aspire to when making decisions regarding the creation, management and use of metadata.
These principles provide for a consistent and contemporary approach to metadata for the Queensland Government and will assist agencies in the establishment and maintenance of metadata management practices. Accurate, integral and relevant agency metadata will allow effective discovery, use and re-use of Queensland Government information.
This improved discovery, use and reuse of Queensland Government information that metadata provides for, is becoming increasingly crucial across a range of related activities. These include agency information and records management, data sharing and analytics practices and broader information lifecycle governance.
Audience
This document is primarily intended for:
- Metadata creators
- Information asset custodians
- Information management specialists
- Record keepers and archivists
- Enterprise architects
- Information architects
- System administrators
- Data analysts and researchers
- Website developers
- Metadata consumers.
Applicability
This policy applies to all Queensland Government departments (as defined by the Public Sector Act 2022). Accountable officers (not already in scope of the Public Sector Act 2022) and statutory bodies under the Financial and Performance Management Standard 2019 must have regard to this policy in the context of internal controls, financial information management systems and risk management. Please see the Applicability of the QGEA for further information.
Scope
All information currently produced, collected, managed, stored, published or shared by Queensland Government departments, either by manual or automated processes, which requires the creation and maintenance of associated metadata is in scope for these Metadata management principles.
Principles for metadata management
The Metadata management principles recognise that not all metadata is of equal value, and therefore encourage agencies to take a value-based approach to metadata management. This allows effort and energy to be focused on the management of metadata which has the most business value to the agency, the Queensland Government and ultimately the people of Queensland.
The rationale and implications of the principles in this document are focused on their application specifically to metadata and its management processes and practices.
Standardised: Agencies select and use existing standard metadata schemas to comprehensively describe their information
Rationale | The Queensland Government collects vast amounts of information across a range of agencies, subject areas and service delivery areas. Metadata helps to identify the business value of this information and maximise it through enabling people and systems to find and use information. Due to considerable variation across subject areas and potential uses of this data, there is no one size fits all approach when it comes to metadata management. However, in many cases proven and well-established subject specific schemas are available, which in many cases are widely recognised as industry best practice. Standard metadata schemas promote consistency and interoperability across multiple data repositories and aid in the transfer of information across agencies. From a user perspective, a metadata schema can allow for comprehensive descriptors of information, which can help users determine if information is fit for purpose, how it can be used and can also help define governance, risk and compliance requirements. |
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Implications |
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Contextualised: Agencies create, maintain or use data dictionaries and/or business glossaries to provide greater understanding and context in relation to their information
Rationale | Because of variations between metadata schemas and differences in the definitions that they use, agencies should consider using data dictionaries (for examples of data dictionary templates see HPW data dictionary and QUT data dictionary - government employees only) and/or business glossaries to support greater understanding of their information. Agencies should commence the establishment of data dictionaries and business glossaries for high-value information with the intent of progressing through to all information. Data dictionaries help to provide data element definitions and explain the structure, relationship and provenance of the data while business glossaries assist users with the comprehension, discovery, use and re-use of information. The context provided by data dictionaries and business glossaries helps the Queensland Government get the best value from the information it collects by providing specific contextual definitions of terms which help avoid misunderstandings and incorrect data usage. Contextualising metadata facilitates informed decision making and improves confidence by helping users (both business and technical) to better understand the information and then evaluate whether it is fit for the intended purpose. For those responsible for the creation of metadata, data dictionaries help to ensure quality and consistency of metadata, as well as streamlining the creation process. |
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Managed: Metadata is managed throughout the information lifecycle
Rationale | Because metadata is the key to identifying, cataloguing, evaluating, integrating, governing and sharing information, it must be complete and accurate enough to ensure consistency of discovery over time. This will require metadata to be accurately created, actively maintained, updated when changes occur and monitored for inaccuracy and inconsistency (which may be an automated process as per the Automated principle below).
Metadata management should commence with information that relates to key agency and/or Queensland Government priorities and progress through to include all information collected and managed by an agency. Metadata will be contained in various repositories across an agency, such as documents, applications, websites and databases, and at various levels of granularity. The location of data will help determine its value with data requiring its metadata to receive priority, likely to reside in critical systems that directly support the core business operations. |
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Implications |
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Published: Agencies make metadata accessible and discoverable
Rationale | When metadata is published it facilitates the discovery of information and the potential for that information to be shared and reused across agencies, across government and across jurisdictions. Information assets increase in value the more they are used and reused, and this value grows when information is compared and combined with other information assets. Providing an option to publish metadata to external discovery tools increases the visibility and ultimately the use of Queensland Government information in line with the requirements of the Information access and use (IS33) policy and the Open Data Policy Statement. Publishing metadata helps to increase the value of information by providing visibility of information collected and stored in agency silos to other Queensland Government agencies or external parties. One example of a cross-agency metadata initiative is the ICT profiling activity which results in the creation of a consolidated Information Asset Register (IAR) containing basic metadata about Queensland Government information assets. The more accurate the metadata contained in the IAR, the more useful and valuable it becomes as a tool to identify and discover Queensland Government information. Federated metadata discovery and access also supports users who need to locate specific Government information or services, but do not know which agency to approach. |
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Implications |
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Automated: Agencies ensure that metadata capture, modification, management and monitoring is time and resource efficient and employ automated processes where practical
Rationale | Metadata is useful for a variety of purposes, but its creation and management can be both time and resource intensive particularly where manual processes are employed. In addition to focusing effort on high value information assets (as defined in the ICT profiling standard), consideration should also be given to implementing automated processes and tools to facilitate the efficient creation, management and consumption of metadata. In a complex information landscape which is the subject of rapid change and technological advancement, agencies should investigate innovative processes and tools which have the potential to improve both the quality and quantity of metadata available for use and consumption. Automated solutions can assist agencies to produce and harvest consistent metadata as well as increase efficiencies in relation to ongoing metadata management activities. Automated solutions may also increase opportunities to use and re-use information in innovative ways through the use of emerging data technologies such as machine learning and artificial intelligence. |
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Implications |
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Review
Issue date:7 March 2019
Next review date: March 2020
This QGEA policy is published within the QGEA and is administered by the Queensland Government Chief Information Office. It was developed by the QGCIO and approved by the Queensland Government Chief Information Officer.
Implementation
These principles come into effect from the issue date.