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The seminars focused on HSRC projects that were underway in 2014-2015 and related work being done elsewhere at the time of the seminar. The seminars addressed latest research, identified research gaps, suggested new research agendas and explored potential policy relevance. This data set includes the proceedings of the 10 seminars of 2014-2015. The following themes were covered:

17 September 2014 - Knowledge Generation and Innovation in the Humanities

16 October 2014 - Measuring Multiple Deprivation at a Small Area Level in South Africa: A Springboard for Tackling Deprivation in the Eastern Cape

02 December 2014 - The Current State of the HIV/AIDS Epidemic in South Africa: Research Findings and Implications for Programme Development

09 December 2014 - Critical Perspectives on the ASSAf Humanities Consensus Report

02 March 2015 - Substance Abuse, Harm Prevention and Harm Reduction: Setting a Research Agenda

03 March 2015 - Spatial Measures of Socio-economic Inequality in South Africa

10 March 2015 - Human and Social Dynamics: The Role of the Social Sciences in Science Engagement

11 March 2015 - Public Engagement for Good Governance: The Role of the Humanities

24 March 2015 - (Un)healthy diets - A Tale of Misinformation or Competing Interests?

27 March 2015 - Food, Nutrition, and Care: Security During the First 1,000 days

This data set contains the responses of Offices of Technology Transfer (OTT) directors who participated in the IP & TT survey. This survey also contains a qualitative component.

This data set contains aggregated data from 2001/02 to 2020/12 on R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and personnel data. 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 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 R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and personnel data. 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 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 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 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 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 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 Agriculture R&D and other S&T indicators by province as well as by government, higher education, not-for-profit organisations and science councils.

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 information on 1899 caregivers from the 1961 households that participated in the household survey. However, to facilitate linking, the HHIDs of households completing the household survey were added to this file with no data.

This dataset contains responses obtained directly from the study focal child. There is information from 1835 children from the 1961 households that participated in the household survey. However, to facilitate linking, the HHIDs of households completing the household survey were added to this file with no data meaning there are 1961 records in this file

This data set contains information on the households that met the inclusion criteria for this study. Information was collected from the primary respondent on themselves and their knowledge of the other household members.

For the household survey, 1961 of the 2032 (96.5%) eligible families participated and completed the baseline survey.