| label | 1297.0 ANZSRC - Australian and New Zealand Standard Research Classification, 2020: Socio-Economic Objectives (SEO) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| dcterms title | 1297.0 ANZSRC - Australian and New Zealand Standard Research Classification, 2020: Socio-Economic Objectives (SEO) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| note | 1297.0 ANZSRC - Australian and New Zealand Standard Research Classification, 2020 Socio-Economic Objectives (SEO) Released at 11.30am (Canberra time) 30 June 2020 Explanatory Notes More information on the ABS website ANZSRC - Australian and New Zealand Standard Research Classification, 2020 Summary (https://www.abs.gov.au/AUSSTATS/abs@.nsf/mf/1297.0) Abbreviations ABS -- Australian Bureau of Statistics ANZSRC -- Australian and New Zealand Standard Research Classification Aus -- Australia nec -- not elsewhere classified NZ -- New Zealand R&D -- research and development SEO -- Socio-Economic Objectives StatsNZ -- Stats NZ Tatauranga Aotearoa is New Zealand's official data agency Introduction 1. These tables detail the structure and explanatory notes of the SEO component of ANZSRC 2020. Nature and purpose of the SEO classification 2. The SEO classification enables R&D to be categorised according to the intended purpose or outcome of the R&D as perceived by the researcher (or data provider). It describes purpose categories that may benefit or impact from the R&D. 3. The objective categories include industries, processes, products, health, education and other social and environmental aspects. Structure of the SEO classification 4. The SEO classification is a hierarchical classification with three levels: Division (2-digit), Group (4-digit) and Objective (6-digit). Each level is identified by a unique number. 5. Each Division is based on a broad research objective. Groups within each Division are those which are aligned towards the same objective as the Division. Each Group is a collection of related research Objectives. Groups and research Objectives are categorised to the Divisions with which they are most closely aligned. Guidelines for classifying by SEO 6. The research should first be considered in its broadest sense and in terms of the dominant beneficiary of the research output. The research is to be allocated to an SEO in a hierarchical manner. This is achieved by: ▪ first determining the most relevant division in which the largest component of the R&D is being performed; then ▪ determining the most relevant group within that division; and then ▪ determining the most relevant objective within that group. 7. The appropriate SEO should reflect the industry, process, product, health, education or other social and environmental aspect that R&D activity aims to impact, improve or measure. The appropriate SEO may reflect the aspirations of the researchers and it may help to understand the goals of the research. 8. Many R&D projects will be a homogenous body of work directed towards a specific objective. These are more straightforward to categorise. However, if the R&D is sufficiently large or complex then multiple fields should be selected and attributed with a proportion of resources relative to the total expenditure of the R&D. If the disaggregation is difficult, consideration of relative importance may indicate a primary objective only. 9. Where a defined objective cannot be identified within a group, the 'not elsewhere classified' category at the objective level is to be used. Expanding Knowledge 10. Division 28 Expanding Knowledge is for the categorisation of R&D which does not have an identifiable socio-economic objective. This is usually the case for pure basic research or strategic basic research (as defined in the Type of Activity classification). Applied research and experimental development, by definition, have an identified socio-economic objective and therefore should not be categorised in this sector. © Commonwealth of Australia 2020 (http://www.abs.gov.au/websitedbs/d3310114.nsf/Home/%C2%A9+Copyright?OpenDocument) © Crown Copyright New Zealand 2020 (http://www.stats.govt.nz/about_us/about-this-site/copyright-terms-of-use.aspx) |
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