Topics covered in the questionnaire are: socio-demographic and family characteristics, participation in other programmes/ interventions, relationship status, knowledge of HIV/AIDS and sexually transmitted diseases, socially accepted practices, HIV prevention knowledge, pregnancy history, intimate partner violence, sexual risk behaviour, attitudes towards HIV, self-efficacy, social support systems and body-image.

The data set for dissemination contains 3061 cases and 509 variables.

Within each of the seven selected areas, cluster samples were selected, with the intention of realising a minimum of 20 households and five businesses/institutions per area. In most cases these targets were exceeded.

The data set for dissemination contains 311 cases and 78 variables.

The data set contains information regarding the identity document survey that was done for the South African Electoral Committee (IEC) during 1998.

The file contains 50 variables and 23 577 cases.

This data set contains data on the R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and province. R&D personnel data is also included. The data is recorded for each of the following economic sectors of the South African economy: Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils.

This data set contains the aggregated data on the R&D expenditure of businesses, Government, Higher Education, Not-for-Profit Organisations, Science Councils and Research Institutions & Museums for the 2004/05 survey.

Subsequent to the dissemination of version 1 of the 2004-05 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data 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.

Subsequent to the dissemination of version 1 of the 2006-07 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data 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.

Subsequent to the dissemination of version 1 of the 2007-08 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data 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.

Subsequent to the dissemination of version 1 of the 2008-09 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data for 2009-10 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.

Subsequent to the dissemination of version 1 of the 2009-10 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

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.

Subsequent to the dissemination of version 1 of the 2010-11 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data for 2011-12 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.

Subsequent to the dissemination of version 1 of the 2011-12 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data for 2012-13 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.

Subsequent to the dissemination of version 1 of the 2012-13 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains the aggregated data for 2013-14 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.

Subsequent to the dissemination of version 1 of the 2013-14 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains data on the R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and province. R&D personnel data is also included. The data is recorded for each of the following economic sectors of the South African economy: Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils.

Subsequent to the dissemination of version 1 of the 2013-14 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

This data set contains data on the R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and province. R&D personnel data is also included. The data is recorded for each of the following economic sectors of the South African economy: Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils.

Interviews with experts on women's economic empowerment and the blue economy in the Indian Ocean Rim were conducted. Although women have played an important economic role in the Indian Ocean for generations, they face a multitude of barriers to full economic inclusion in the Indian Ocean's Blue Economy. This qualitative dataset focuses on the Blue Economy as a vehicle for women’s economic empowerment.

The initial target interviews were 10 but 8 interviews were conducted. The realisation rate is therefore 80%.

This data set contains data on the R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and province. R&D personnel data is also included. The data is recorded for each of the following economic sectors of the South African economy: Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils.

The data set contains access to basic public services data in selected villages: 11 villages in 4 IPRDP district demonstration municipalities (Amathole, Chris Hani, Capricorn, Gert Sibande); and 4 comparison sites in 2 IPRDP demonstration municipalities (Sekhukhune; Ehlanzeni) and 2 non-demonstration municipalities (Ugu; Alfred Nzo).

Ten reports were written by teachers on their experience of using the Strength and Difficulties Questionnaire on adolescents in Mangaung and on the perceived mental health problems being experienced by the adolescent in their classrooms.

As part of the assessment of the impact of findings of the South African National Health and Nutrition Examination Survey (SANHANES-1) 2011-12 in respect only of Non-Communicable Diseases (NCDs), in-depth interviews with relevant parties. The evaluation consisted of five output, outcome and impact categories, i.e. knowledge, benefits to future research and research use, benefits from informing policy and product development, health and health sector benefits, and broader social and economic benefits.

The data set contains a summary of 14 interviews conducted with participants ranging from a senior medical researcher to a PHD student.

The realised respondent interviews comprised 3 South African medical academic researchers; 4 members of the SANHANES-1 research team; 5 government officials (Department of Health and Treasury); 1 PhD student; and 1 foreign researcher. Three HSRC communications staff provided information about media and social media outputs. Despite several attempts, 2 other key high-profile stakeholders could not be interviewed.

This dataset contains the responses of smallholder farmers who kept cattle, or any combination of cattle with small stock (sheep and goats) across five provinces in South Africa.

The questionnaire includes questions on household demographics, source of income, livestock keeping activities and facilities and disease control measures. The aim of this study was to identify livestock farmers' knowledge, attitudes, practices and perceptions (KAPP) on primary animal healthcare with a special focus on vaccinations.

The data contains 191 variables and 591 cases.

This data set contains the responses given by municipal officials from an online survey of violence experiences. The data set has 35 variables and 448 cases.

This data set contains the responses from a purposive sample of 10 473 respondents who were all living with HIV and who were older than 15 years linked to either an organisation for PLHIV or attending health facilities and NGOs for the purposes of accessing support or care related to HIV and AIDS, with the purpose to measure self-reported stigma and discrimination experienced by PLHIV nationally.

The data set for dissemination contains 377 variables and 10 473 cases which represented 100% response rate.

This data set contains the responses of young adolescents (aged 10-14 years) to a questionnaire concerning their sexual and reproductive health, conducted in Gert Sibande District, Mpumalanga, South Africa in 2017. Issues like bodily development during puberty, menstruation, dating and sex as well as accessing information about these issues are included.

The data set for dissemination contains 132 variables and 696 cases from the expected 840 which represented 83% response rate.

• How ready is South African policy for IID
• Information and communication technologies in basic education
• Innovation partnerships for rural development programme
• SASTEP innovation sanitation technology
• Why do development projects fail?

The data set for dissemination contains 396 variables and 17 938 cases of respondents aged 15 and older who participated in the SANHANES-1 Adult Physical Examination. Of the total number of cases, 7 340 individuals volunteered to undergo the physical examination.

Topics covered in the physical examination form are: general patient history, detailed patient history, systematic clinical examination, blood pressure and pulse rate, step fitness test, and anthropometry.

The data set contains 129 variables and 84 Basic Education Educators of Tourism and related subjects and qualifications who completed the web-based online survey.