National Research and Experimental Development Survey (R&D) 2001/02_2020/21: All provinces in South Africa - Aggregated

DOI

Description: 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. Abstract: The R&D Survey is aggregated time series data collected from 2001/02 to 2020/21 on five primary 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 and private higher education institutions. Some limited supplementary data from HEMIS was used in this sector.

Not-for-Profit Organisations (NPO) sector, made up of non-governmental and not-for-profit entities registered as Section 21 companies

Science Councils sector, made up of the nine science councils established through acts of parliament

Science Councils sector, made up of the nine science councils established through acts of parliament.

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 expenditures.

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

National priority areas of interest

Multidisciplinary R&D

The key users of the data and findings include government departments, especially DSI and the OECD which 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.

Email survey

Face-to-face interview

Postal survey

Telephone interview

Web-based self-completion

The universe included consisted of:

Business enterprises (BUS): The business sector of large, medium and small enterprises, including state-owned companies.

Government (GOV): All government departments with an R&D component, government research institutes and museums.

Higher education institutions (HEI): Higher education institutions, namely the 21 universities (and academic hospitals) and 15 Universities of Technology.

Not-for-profit (NPO): Non-governmental and other organisations formally registered as not-for-profit institutions.

Science councils (SCI): The 8 science councils, including the Africa Institute of South Africa, as established through their individual Acts of Parliament.

The sampling method of each sector is briefly outlined below:

Business Sector: a purposive sampling procedure was employed whereby all known and likely R&D performers were targeted.

Government Sector: was surveyed using a census approach. All national and provincial government departments, research institutions and museums performing R&D were included.

Higher Education Sector: institutions, namely universities and Universities of Technology were included through a census survey.

Not-for-Profit Organisations (NPO) Sector: a purposive sampling procedure was employed whereby all known and likely R&D performers were targeted.

Science Councils Sector: was surveyed using a census approach.

Identifier
DOI https://doi.org/10.14749/1691495530
Metadata Access https://api.datacite.org/dois/10.14749/1691495530
Provenance
Creator Mathekga, Mmanoko Jerry; Binda, Lindiwe Eva; Clayford, Mario Andre; Mahlaela, Audrey Motlanatso; Zondi, Luthandolwethu Luyanda; Mustapha, Nazeem; Ralphs, Gerard Patrick; Sass, Theodore; Saunders, Natasha Charmaine; Sithole, Moses Mefika; Vlotman, Natalie Adelai; Kasongo, Atoko; Mavi, Sintu; Bongoza, Mbali; Cameron, Isaac Stuart; Davids, Marco; Makamu, Tlangelani Loneck; Hlungwani, Nhlanhla Don; Mhlanga, Nokhetho Precious; Ramoroka, Kgabo Hector; Sigenu, Viwe Aubrey; Whisgary, Darryn; Vundla, Nqobile; Human Sciences Research Council
Publisher HSRC - Human Science Research Council SA
Contributor Human Sciences Research Council
Publication Year 2022
Funding Reference Department of Science and Innovation
Rights Other; By accessing the data, you give assurance that The data and documentation will not be duplicated, redistributed or sold without prior approval from the rights holder. The data will be used for scientific research or educational purposes only. The data will only be used for the specified purpose. If it is used for another purpose the additional purpose will be registered. Redundant data files will be destroyed. The confidentiality of individuals/organisations in the data will be preserved at all times. No attempt will be made to obtain or derive information from the data to identify individuals/organisations. The HSRC will be acknowledged in all published and unpublished works based on the data according to the provided citation. The HSRC will be informed of any books, articles, conference papers, theses, dissertations, reports or other publications resulting from work based in whole or in part on the data and documentation. For archiving and bibliographic purposes an electronic copy of all reports and publications based on the requested data will be sent to the HSRC. To offer for deposit into the HSRC Data Collection any new data sets which have been derived from or which have been created by the combination of the data supplied with other data. The data team bears no responsibility for use of the data or for interpretations or inferences based upon such uses. Failure to comply with the End User License may result in sanctions being imposed.
OpenAccess true
Representation
Resource Type Dataset
Version 1.0
Discipline Social Sciences
Spatial Coverage South Africa