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The South African Agricultural Business Innovation Survey describes the patterns of innovation in South African agribusinesses from 2016 to 2018, analysed at an aggregate level for all agribusinesses, and compares trends across three major sub-sectors: agriculture (including crop, animal, and mixed farming), forestry, and fisheries.

Of the targeted businesses of 1 326, 303 responses (22%) were realised.

There are 132 variables and 303 cases in the data set.

The South African Agricultural Business Innovation Survey describes the patterns of innovation in South African agribusinesses from 2016 to 2018, analysed at an aggregate level for all agribusinesses, and compares trends across three major sub-sectors: agriculture (including crop, animal, and mixed farming), forestry, and fisheries.

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

The seminars focused on HSRC projects that were underway in 2016-2017 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 2016-2017. The following themes were covered:

30 June 2016 - Rebellion of the poor: Research, politics, policing and people

01 July 2016 - Rebellion of the poor: Research on protests: South Africa, Egypt, Turkey and Ukraine Compared

28 September 2016 - Researching youth languages in Africa

21 November 2016 - Capacity building for (community) engaged scholarship

23 November 2016 - Policy co-ordination and growth traps in a middle-income country setting: The case of South Africa

24 November 2016 - Best practice in male circumcision: The acknowledgement of traditional leaders as custodians

08 March 2017 - The 'Human Capital Pipeline' - Human capabilities and the South African System of Innovation

22 March 2017 - Towards a more equal society: Perspectives of educational inequality in South Africa

23 March 2017 - The National Income Dynamics Study (NIDS): What does NIDS tell us about growing up in South Africa? A focus on children and youth

31 March 2017 - Intergenerational trauma and memory: Implications for social cohesion in contemporary South Africa

• 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 comprises the raw data from the 979 valid completed Innovation Survey questionnaires from the 979 private sector business enterprises plus the weightings for each cell defined by one of four size classes and Standard Industrial Classification (SIC) sub-sector. The data set has restricted access for the project team only.

The data set comprises the raw data from the 757 valid completed Innovation Survey questionnaires from the 757 private sector business enterprises plus the weightings for each cell defined by one of four size classes and Standard Industrial Classification (SIC) sub-sector.

This data set contains the responses of South African business enterprises on their innovation activities carried out between 2010 and 2012. In completing the questionnaire, enterprises followed a skip pattern, e.g., depending on whether or not they had carried out product or process innovation during the period covered by the survey.

This data set contains the responses of South African business enterprises on their innovation activities carried out between 2014 and 2016. In completing the questionnaire, enterprises followed a skip pattern, e.g., depending on whether or not they had carried out product or process innovation during the period covered by the survey.

Of the targeted businesses of 4 191, 642 responses (15%) were realised.

There are 259 variables and 642 cases in the data set.

This aggregated data set contains the responses of South African business enterprises on their innovation activities carried out between 2014 and 2016. In completing the questionnaire, enterprises followed a skip pattern, e.g., depending on whether or not they had carried out product or process innovation during the period covered by the survey.

The data set contains household demographic 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).

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).

This data set contains the aggregated data for the years 2001/02 on the R&D expenditure of businesses, government, higher education, not-for-profit organisations, science councils and research institutions and museums.

This data set contains data tables on aggregated R&D Personnel and aggregate R&D expenditure of five survey sectors across multiple categorisations for the years 2003 to 2004.

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 for the period 2005-2006.R&D expenditure is aggregated by five survey sectors across nine provinces in South Africa.

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.