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Description: This data set contains the aggregated data for 2010-11 on the R&D expenditure per province by Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils. R&D expenditure is aggregated by five survey sectors across nine provinces in South Africa.

Abstract: The National Survey of Research and Experimental Development (R&D) Survey collects data under strict confidentiality. Aggregate data are used primarily to inform policy and strategic planning at a national level. The National R&D Survey 2010/11 collected primary data from five survey sectors: Business sector, made up of companies, business associations and state owned enterprises. Government sector, made up of national and provincial departments, research institutes and museums. Higher Education Institutions sector, made up of universities, universities of technology, technikons and private higher education institutions. Some limited supplementary data from HEMIS was used in this sector. Not-for-Profit Organisations (NPO) sector. Science Councils sector. Some general organisational information was collected. The survey however focused on Human Resources and Financial data relating to in-house R&D conducted on the national territory of South Africa. In-house R&D personnel categories included: Researchers Technicians directly supporting R&D Other personnel directly supporting R&D Qualifications, gender and race Full-time-equivalents (FTE) on R&D In-house R&D expenditure categories included: Capital expenditure, labour costs and other current expenditure. Type of R&D (basic research, strategic basic research, applied research, and experimental development) Provincial location Sources of funds Research fields (fields of science) Socio-Economic Objective Industry of R&D (Business sector only) The key users of the data and findings include government departments, especially DST and the OECD who use survey indicators in their annual time-series publication on Main Science and Technology Indicators (MSTI). Ad hoc requests for data are also accommodated and inform academic papers, reports and other outputs.