The UIS annual education data collection includes:
The UIS also collects data on literacy and educational attainment from more than 200 countries and territories. Countries report data based on censuses and national and international household surveys. The UIS supplements literacy and educational attainment data provided by countries by calculating indicators based on information obtained from the United Nations Statistical Division, international surveys like the Multiple Indicator Cluster Survey (MICS) conducted by UNICEF and from national surveys on the active population conducted by the OECD.
The UIS conducts an annual survey on R&D involving about 150 countries. To complement this survey, data are also collected from the following partners: RICYT, OECD, Eurostat and ASTII.
In the field of culture, the UIS conducts an annual survey on Expenditure on Cultural and Natural Heritage (SDG 11.4.1).
*Do you provide the UIS with data? Proceed directly to the Questionnaire Website to download the electronic questionnaires and related documents and send us your data! Please note that only designated national authorities should submit data to the UIS.
Instruction manual for completing the 2018 questionnaire on research and development (R&D) statistics.
Instruction manual for completing the 2018 questionnaire on research and development (R&D) statistics - in Russian.
Instruction manual for completing the 2018 questionnaire on research and development (R&D) statistics - in Arabic.
2018 questionnaire on research and experimental development.
2018 questionnaire on research and experimental development - in Russian.
2018 questionnaire on research and experimental development.
Innovation statistics survey.
Research and experimental development (R&D), as defined by the OECD Frascati Manual, comprise creative and systematic work undertaken in order to increase the stock of knowledge – including knowledge of humankind, culture and society – and to devise new applications of available knowledge.
For an activity to be an R&D activity, it must satisfy five core criteria. The activity must be:
Activities to be excluded from R&D include:
Frascati Manual 2015 lays down the main definitions and guidelines for collecting R&D data. The 7th edition of the manual was published by the OECD in 2015
Personnel data measure the resources going directly to R&D activities. Expenditure data measure the total cost of carrying out the R&D concerned, including indirect support (ancillary) activities.
To facilitate the collection of data, the description of institutional flows of R&D funds, and the analysis and interpretation of R&D data, statistical unit(s) should be grouped by sectors of the economy, following as closely as possible standard classifications of economic activities. R&D data can be classified into four sectors of performance:
To facilitate the collection of data, the description of institutional flows of R&D funds, and the analysis and interpretation of R&D data, statistical unit(s) should be grouped by sectors of the economy, following as closely as possible standard classifications of economic activities. R&D data can be classified into five sources of funds:
R&D covers three activities: basic research, applied research and experimental development.
R&D covers both formal R&D in R&D units and informal or occasional R&D in other units.
R&D data can be classified by fields of R&D, using the OECD fields of research and development (FORD) classification (presented in the Frascati Manual 2015), as shown in Table 1.
Table 1. Fields of R&D classification in the Frascati Manual
1. Natural sciences 1.1 Mathematics 1.2 Computer and information sciences 1.3 Physical sciences 1.4 Chemical sciences 1.5 Earth and related environmental sciences 1.6 Biological sciences 1.7 Other natural sciences
2. Engineering and technology 2.1 Civil engineering 2.2 Electrical engineering, electronic engineering, information engineering 2.3 Mechanical engineering 2.4 Chemical engineering 2.5 Materials engineering 2.6 Medical engineering 2.7 Environmental engineering 2.8 Environmental biotechnology 2.9 Industrial biotechnology 2.10 Nano-technology 2.11 Other engineering and technologies
3. Medical and health sciences 3.1 Basic medicine 3.2 Clinical medicine 3.3 Health sciences 3.4 Medical biotechnology 3.5 Other medical science |
4. Agricultural and veterinary sciences 4.1 Agriculture, forestry, and fisheries 4.2 Animal and dairy science 4.3 Veterinary science 4.4 Agricultural biotechnology 4.5 Other agricultural sciences
5. Social sciences 5.1 Psychology and cognitive sciences 5.2 Economics and business 5.3 Education 5.4 Sociology 5.5 Law 5.6 Political science 5.7 Social and economic geography 5.8 Media and communications 5.9 Other social sciences
6. Humanities and the arts 6.1 History and archaeology 6.2 Languages and literature 6.3 Philosophy, ethics and religion 6.4 Arts (arts, history of arts, performing arts, music) 6.5 Other humanities |
R&D personnel are all persons engaged directly in R&D as well as those providing direct services for the R&D activities (such as R&D managers, administrators, technicians and clerical staff). Persons providing indirect support and ancillary services, such as canteen, maintenance, administrative and security staff, should be excluded, even though their wages and salaries are included as an overhead cost when measuring expenditure.
R&D personnel can be classified according to their R&D function:
ISCED provides the basis for classifying R&D personnel by formal qualification. Five classes are recommended for the purposes of R&D statistics. They are defined exclusively by level of education, regardless of the field in which personnel are qualified.
Full details of ISCED can be found on the UIS website at: http://www.uis.unesco.org/education/pages/international-standard-classification-of-education.aspx
Gender parity is achieved when the share of females in the total stand between 45% and 55% for an indicator.
The measurement of personnel employed in R&D can be done in headcounts and in full-time equivalence (person-years).
The headcount (HC) of R&D personnel is defined as the total number of individuals contributing to intramural R&D, at the level of a statistical unit or at an aggregate level, during a specific reference period (usually a calendar year). That means headcount data reflect the total number of persons who are mainly or partially employed in R&D. Headcount data are the most appropriate measure for collecting additional information about R&D personnel, such as age, gender or national origin.
The measurement of personnel employed in R&D can be done in headcounts and in full-time equivalence (person-years).
The Full-time equivalent (FTE) of R&D personnel is defined as the ratio of working hours actually spent on R&D during a specific reference period (usually a calendar year) divided by the total number of hours conventionally worked in the same period by an individual or by a group. Series based on the number of full-time equivalent staff are considered to be a true measure of the volume of R&D.
R&D may be the primary function of some persons (e.g. workers in an R&D laboratory) or it may be a secondary function (e.g. members of a design and testing establishment). It may also be a significant part-time activity (e.g. university teachers or postgraduate students). To count only persons whose primary function is R&D would result in an underestimate of the effort devoted to R&D; to do a headcount of everyone spending some time on R&D would lead to an overestimate. The number of persons engaged in R&D should, therefore, also be expressed in full-time equivalents on R&D activities.
One full-time equivalent may be thought of as one person-year. Thus, a person who normally spends 30% of his/her time on R&D and the rest on other activities (such as teaching, university administration and student counselling) should be considered as 0.3 FTE. Similarly, if a full-time R&D worker is employed at an R&D unit for only six months, this results in an FTE of 0.5. Therefore, it is measured by combining two variables: actual involvement in R&D activities and formal engagement on the basis of normative/statutory working hours.
The following formula can be used to calculate R&D personnel in FTE:
FTE = (dedication to the employment: FT/PT) x (portion of the year active on R&D) x (time or portion spent on R&D)
R&D personnel can be broken down by:
These breakdowns can be calculated in headcount and full-time equivalence, and can be further disaggregated by gender.
The following indicators are usually calculated for R&D personnel:
The basic measure of R&D expenditure is “intramural expenditures”.
Intramural R&D expenditures are all current expenditures plus gross fixed capital expenditures for R&D performed within a statistical unit during a specific reference period, whatever the source of funds.
The most important national total is gross domestic expenditure on R&D (GERD), which is defined as total intramural expenditure on R&D performed in the national territory during a specific reference period.
Extramural expenditures cover payments for R&D performed outside the statistical unit or sector of the economy.
R&D expenditure refers to resources actually spent on R&D activities, rather than only what is budgeted. Therefore, the way to obtain sound data is to rely on responses of R&D performers, rather than funding agencies.
GERD refers to gross domestic expenditure on R&D.
R&D expenditure can be broken down by:
The following indicators are usually calculated for R&D expenditure: