Metadata is information about how data are defined, structured and represented. It makes data files meaningful by describing the information captured in data, and how it is measured and represented.
Metadata endorsed for use across Australia are referred to as data standards. These standards improve the quality, relevance, consistency and availability of national information about the health and welfare of Australians. High quality, nationally consistent health and welfare information is essential to inform the development and implementation of policies for improving health and welfare outcomes for all Australians.
Data dictionaries (hardcopy or PDF) are no longer produced. All endorsed data standards are available in METeOR.
The metadata online registry (METeOR) is Australia’s repository for national data standards in the following sectors:
METeOR operates under the remit of the Australian Institute of Health and Welfare (AIHW) and is available to the public online.
METeOR is based on the International Organization for Standardization and the International Electrotechnical Commission 11179 Metadata Registries (ISO/IEC 11179). This standard specifies the semantics used for data descriptions and how they are represented and registered. This helps standardise, harmonise and manage metadata (independent of originating organisations). This, in turn, ensures quality and improves accuracy and comparability of data.
In June 2018, AIHW signed a contract with CSIRO to replace the existing METeOR technical platform. As part of the upgrade, CSIRO will develop a range of features to enhance and customise the replacement system.
Development of the new METeOR system is in progress, for deployment in 2019. Training and support will be available for registered organisations and users.
Quality assurance of METeOR data standards is supported through strong governance arrangements. Metadata items pass through rigorous approval processes (including expert data committees and technical reviews) before they can be endorsed by registration authorities.
Registration authorities are responsible for endorsing data standards applicable to each sector, which are made publically available for use in a broad range of settings. There are national and non-national registration authorities. National registration authorities have the ability to endorse national data standards. Non-national registration authorities support state and territory metadata development work.
As a metadata item progresses through review, it is assigned ‘lifecycle’ registration statuses. These indicate its stage of development and the degree of quality assurance.
Common registration statuses include:
Candidate—the metadata item has been proposed for progression through the registration levels, but may be subject to further development.
Standardisation pending—the metadata item has been reviewed and is recommended to a registration authority for adoption as a national data standard.
Standard—a registration authority has endorsed the metadata item as a national data standard.
Superseded—the metadata item has been replaced with a new version covering the same data.
Retired—a registration authority has nominated that the metadata item is no longer fit-for-purpose or no longer required for use in the relevant area.
The registration status for a metadata item includes information on the:
Non-national registration authorities apply different statuses to metadata items, including: Endorsed (current standards) and Archived (superseded and retired items).
Note: metadata governance and approval processes may change as registration guidelines and practices are reviewed.
METeOR has multiple metadata item types. The metadata building blocks, and the relationships between them, are in Figure 1.
Data elements contain the complete definition and representational information corresponding to variables in data files. Figure 1 shows the metadata structure for each data element, which is based on ISO/IEC 11179.
In METeOR, data element sets form a complete picture of a data collection.
A set of data elements is often collected for national reporting. They describe the conditions for data collection, the information collected and the reporting arrangements.
METeOR distinguishes various types of data element sets based on the level of national agreement to supply and report data for that collection. The main types are national minimum data sets and data set specifications.
This is a minimum set of data elements agreed for mandatory collection and reporting at national level. Agencies and service providers may collect additional data, but specifying a minimum set ensures that relevant and consistent data are collected and supplied for meaningful comparison, interpretation and reporting.
This is a set of data elements recommended for collection and reporting as best practice, but not mandated for national collection. For example, some agencies and service providers may not collect the complete set of information described by all data elements in a data set specification, which means consistent data are not available at national level.
In 2016–17, the Health Registration Authority re-categorised health sector data set specifications as best endeavours or best practice.
A national best endeavours data set describes a non-mandatory group of data elements, where there is agreed commitment to collect and provide data nationally on a best endeavours basis.
A national best practice data set describes a non-mandatory group of data elements recommended for collection as best practice that are not subject to collection and reporting arrangements.
Indicators describe information that assists health and welfare policy makers and service managers to translate statistics to policy goals. They are usually grouped as indicator sets. These provide a suite of performance information about the health and welfare of Australians.
METeOR became the formal repository for indicators in 2009–10, to house the Council of Australian Governments performance indicators included in national Intergovernmental and Partnership Agreements.
Leveraging METeOR to disseminate indicator information has improved public accessibility and interpretation of policy relevant data. Over time, METeOR has included indicators, output and progress measures related to other agreements and frameworks. An example is the Australian Commission on Safety and Quality in Health Care, clinical care standard indicators.
Indicator specifications in a standardised format support performance benchmarking and drive service improvement initiatives. In METeOR, indicators link to other metadata items that are used to calculate indicator statistics and outcome areas, which define strategic targets and set thresholds for service performance.
METeOR is accessible online.
These METeOR features assist in finding metadata.
Endorsed data standards are listed by collection for:
A selection of standard indicator sets is listed by overarching agreement or framework.
The search bar is a quick way to search metadata by key words. It is limited to finding standard data elements and data set specifications.
The advanced search has filters that can be customised. These can expand or restrict metadata search results to registration authorities, metadata items and registration statuses.
The browse registry has a drop-down list of metadata items. It can also generate a list of current data standards for the selected type.
The metadata model on the METeOR home page navigates to a list of current data standards for the selected metadata item.
Archived versions of previously published national data dictionaries are below:
Each metadata item has a unique identifier. Insert this number at the end of the URL web address to navigate to a known item.
The help page has additional information on navigating METeOR, understanding metadata development, and requests for training.
General information, such as meanings of terms used in METeOR (for example, registration authorities) rather than actual metadata items, is accessible through the search help box in the left hand navigation pane of METeOR. Contextual help icons () provide more details for associated fields.
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