GLOSSARY
ABARES – Australian Bureau of Agriculture and Resource Economics and Sciences. ABARES is a research bureau within the Department of Agriculture providing professionally independent research, analysis and advice for government and private sector decision-makers on significant issues affecting Australia’s agriculture, fisheries and forestry industries.
ABS – Australian Bureau of Statistics. The ABS is Australia’s National Statistical Office (NSO) which exists to assist and encourage informed decision making, research and discussion within governments and the community.
ABS Data Quality Framework (DQ Framework) – The DQ Framework provides standards for assessing and reporting on the quality of statistical information. For further information see the ABS website: The ABS Data Quality Framework
Accessibility - Accessibility is the seventh dimension of quality in the ABS DQ Framework. Accessibility refers to the ease of access to data by users, including the ease with which the existence of information can be ascertained, as well as the suitability of the form or medium through which information can be accessed.
Accuracy - Accuracy is the fourth dimension of the ABS DQ Framework and refers to the degree to which the data correctly describe the phenomenon they were designed to measure.
Administrative data - Administrative data collection is the set of activities involved in the collection, processing, storage and dissemination of statistical data from one or more administrative sources. Administrative data is sourced from an administrative activity and associated records as opposed to survey data collection.
Coherence - Coherence is the fifth dimension of the ABS DQ Framework and refers to the internal consistency of a statistical collection, product or release, as well as its comparability with other sources of information, within a broad analytical framework and over time.
Critical asset – A statistical asset which is considered vital to inform the ongoing administration of a work program or an element of a work program.
Data users – An individual, group or organisation involved in accessing and investigating integrated datasets for statistical and research purposes. Data users include academics working in research institutions and employees undertaking research in Australian and State/Territory government agencies, industry and the community.
Data producers – An individual, group or organisation involved in the collection, storage, analysis and transformation of data for the production of statistical outputs, dissemination of those outputs and information describing them.
Data custodians – An individual, group or organisation responsible for managing the use, disclosure and protection of source data used in a statistical data integration project. Data custodians collect and hold information on behalf of a data provider (defined as an individual, household, business or other organisation that supplies data for either statistical or administrative purposes). The role of data custodians may also extend to producing source data in addition to their role as a holder of datasets.
Detailed statistical asset public submission – The second public submission option for the NASR’s first consultation phase which involved the completion of an Excel template to capture information about the agricultural statistical assets that currently exist and are being utilised in the NASIS, as well as those assets that do not currently exist, but are required to inform decision making.
Department of Agriculture – The Australian Government Department of Agriculture leads the development of policy advice and provides services to improve the productivity, competitiveness and sustainability of agriculture, fisheries, forestry and related industries.
Essential Statistical Assets for Australia (ESA) – The ESA initiative aims to allow for effective prioritisation of investment, focus and effort within the National Statistical Service, by identifying those essential statistical assets which are critical to decision-making in a complex and sometimes fragmented information environment across Australia.
Government – Where referencing ‘government’ this refers to Australian and State/Territory government unless elsewhere specified.
High level public submission – The first public submission option for the NASR’s first consultation phase which involved providing a response to five high level questions, either directly or by using them as a guide for a response.
Institutional Environment - Institutional Environment is the first dimension of quality in the ABS DQ Framework and refers to the institutional and organisational factors which may have a substantial influence on the effectiveness and credibility of the agency producing the statistics
Interpretability - Interpretability is the sixth dimension of quality in the ABS DQ Framework. Interpretability refers to the availability of information to help provide insight into the data.
NASR - National Agricultural Statistics Review.
NSO – National Statistical Organisation.
NASIS – National Agricultural Statistical Information System. The “agriculture” component of Australia’s National Statistical System.
Public submission - The process of stakeholders, excluding the Department of Agriculture including ABARES and ABS, providing a submission to the NASR during the review’s first consultation phase.
Relevance - this second dimension of the ABS DQ Framework refers to how well the statistical product or release meets the needs of users in terms of the concept(s) measured, and the population(s) represented.
Statistical cycle – A model comprising phases of statistical activity for the production of statistical output. The statistical cycle is comprised of seven phases; planning, content development, data collection, data processing, analysis, dissemination and evaluation.
Statistical data integration – Involves combining information from different administrative and/or survey sources to provide new datasets for statistical and research purposes.
Timeliness - Timeliness is the third dimension of quality in the ABS DQ Framework. Timeliness refers to the delay between the reference period (to which the data pertain) and the date at which the data become available; and the delay between the advertised date and the date at which the data become available (e.g. the actual release date).
Print Page
Print All