7105.0.55.003 - National Agricultural Statistics Review - Preliminary findings, 2013-14  
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 31/03/2014  First Issue
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Duplication

The NASR's definition of duplication
The NASR has identified that duplication in the NASIS is occurring between agricultural statistical assets where there is similarity involving survey topics, respondents, sectors and/or geographic output levels.


Why is the NASR interested in duplication?
One of the NASR's objectives is to identify duplication in existing information requirements for the agricultural sector.

A defining feature of an effective and efficient NASIS is minimal overlap. By identifying duplication within the NASIS, measures may be implemented to remove or minimise duplication with benefits including:


    · decreased respondent burden

    · increased efficiency with which NASIS stakeholders allocate resources for data collection, processing, analysis and dissemination

    · increased collaboration (and potential pooling of resources) across government, industry, academia and community

The initial phase of NASR consultation has begun to build a picture of both the information requirements of stakeholders and the existing statistical assets produced and used by stakeholders. This developing picture will highlight areas where the information requirements and statistical assets produced and used between stakeholders overlap with those of others across government, industry, academia and the community.

There are a small number of instances where the information requirements of an individual stakeholder or stakeholder organisation are unique. Identification of common information requirements between stakeholder groups in the system highlights opportunities for efficiencies in the NASIS.


Potential duplication in existing agricultural statistical assets
The NASR's initial phase of consultation gathered information about the existing agricultural statistical assets relied upon by stakeholders across the system. This information about statistical assets explored topics such as:


    · the population the data was collected from (e.g. agricultural businesses)
    · the agricultural sectors the data was collected from (e.g. horticulture sector)
    · the geographic output level (e.g. Natural Resource Management (NRM) region)
This information will be used by the NASR to highlight potential duplication in existing agricultural statistical assets and discuss actions with the relevant stakeholders to explore these potential duplications for the NASR’s final report.