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www.uis.unesco.org UIS activities in the collection and analysis of R&D indicators WHO workshop - monitoring R&D resource flows London, UK 14 February 2013

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Page 1: UIS activities in the collection and analysis of R&D indicators€¦ · UIS activities in the collection and analysis of R&D indicators WHO workshop - monitoring R&D resource flows

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UIS activities in the collection and analysis of

R&D indicators

WHO workshop - monitoring R&D resource flows

London, UK

14 February 2013

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Global survey on Research and

Development (R&D) Statistics

Forms part of the Institute's strategy to improve its statistical programme and to develop and deliver timely, accurate and policy-relevant statistics.

Objective: to collect the most recent data on resources devoted to R&D: R&D Personnel and R&D Expenditure.

Follow the OECD Frascati Manual guidelines.

Expected to capture data on all institutions carrying out R&D activities (all sectors of performance, all fields of science).

Biennially: 2004, 2006, 2008 and 2010 R&D surveys completed. 5th round was launched in June 2012.

Survey cycle: around 9 months

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Global survey on Research and

Development (R&D) Statistics conti…

Data and metadata released on UIS website (UIS Data Centre: http://stats.uis.unesco.org) and also contribute to other agencies.

Data are available from 1996 onwards.

UIS sends the questionnaire to around 140 countries and territories.

OECD and Eurostat provide data for their Member States (44 countries).

RICYT provides data for Latin America and for a few Caribbean countries (19 countries).

A joint data collection with the AU/NEPAD African STI Indicators (ASTII) Initiative is under discussion (28 countries in ASTII Phase 2; leads to production of African Innovation Outlook 2013).

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UIS 2010 and 2012 R&D Surveys:

response rates & published data

Regions

(Countries and Territories covered)

Effective

responses

Q 2010

Effective

responses

Q 2012*

Data published

based on all

surveys since 2004

(by June 2012)

Sub-Saharan Africa (45) 12 27% 30%

7 16% 15%

31 69% 69%

Arab States-Africa (9) 4 44% 1 11% 6 67%

Asia (31, excl. Arab States & OECD) 16 52% 51%

11 35% 33%

24 77% 67%

Arab States - Asia (12) 6 50% 3 25% 5 42%

Americas (14, excl. RICYT & OECD) 0 0% 1 7% 4 29%

Europe (16, excl. OECD & Eurostat) 7 44% 4 25% 11 69%

Oceania (17, excl. OECD) 0 0% 0 0% 3 18%

Sub-total (143) 45 31% 27 19% 84 58%

Data from other sources:

OECD + Eurostat (44) 44 100% 44 100% 44 100%

RICYT (26, incl. 10 Caribbean) 19 73% 19 73% 19 73%

Total (214) 108 50% 90 42% 147 69%

Note: Effective responses: number of returned questionnaires with data. *being conducted

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R&D Survey: Data collection

R&D Personnel

By occupation, sector of employment,

qualification, and field of science

(incl. Medical and health sciences)

In headcount and Full-time

equivalents (FTE); By gender

R&D Expenditure

By sector of performance and source

of funds

By field of science, type of costs and

type of activity

Metadata

Contact details, scope/coverage,

methodologies followed

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Challenges/limitations of data from

developing countries: data gaps/quality

• Lack of data from Pacific, Caribbean, Sub-Saharan

Africa (improving), Arab States (improving).

• Lack of coverage (data from Business enterprise and

Private non-profit sectors are under-reported).

• Lack of data related to R&D Personnel in Full-time

equivalents (FTE). E.g. CIS countries.

• Lack of comparability with Frascati Manual guidelines.

E.g. secondary data from budget instead of actual R&D

expenditure.

• Unavailability of all data by some breakdowns.

E.g. By field of science (SSH), types of activity.

• Lack of time series data: frequency of national surveys;

biennial UIS R&D survey.

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Challenges/limitations of data from

developing countries: data collection

Discussed in UIS Technical Paper 5: Measuring

R&D: Challenges Faced by Developing Countries.

• Structural issues: Lack of interest/understanding of

importance of S&T (indicators), lack of political will and

action, lack of coordination, lack of technical knowledge,

lack of trained personnel, weak statistical institutions.

• Measurement problems:

» Budget data vs. surveys

» Measuring “real effort” (full-time equivalents)

» Private sector R&D

» Specific fields of R&D activity (e.g. Clinical trials)

» Role of foreign internationally controlled entities

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Opportunities to expand/improve data

and ability to compare data

Data sharing with other partner institutions.

Capacity building: STI statistics workshops:

Regional, National (targeted countries).

Methodological developments:

• Measuring R&D in Developing Countries: Technical

Paper and Annex to the Frascati Manual (2010).

• Guide for the conduct of R&D Surveys in Developing

Countries: 2012-2013.

Annual UIS R&D Survey with more breakdowns +

shorten the survey cycle.

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Thank you!

http://www.uis.unesco.org

Rohan Pathirage

[email protected]

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Extra slides

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A snap-shot of R&D intensity.

Gross domestic expenditure on R&D (GERD) as a

percentage of GDP, 2010 or latest available year

0.00%–0.25%

0.26%–0.50%

0.51%–1.00%

1.01%–2.00%

Data not available

2.01% and above

Source: UIS, Oct 2012

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What are the national research densities?

Researchers per million inhabitants, 2010 or

latest available year

0–100 per million

101–300 per million

301–1000 per million

1001–2000 per million

Data not available

2001 per million and above Note: Data in this map are based on FTE. However, figures in headcounts (HC) were considered for the following countries since

the FTE figures were not available: Armenia; Azerbaijan; Bangladesh; Belarus; Benin; Botswana; Cameroon; Central African

Rep.; Cuba; Dem. Rep. of the Congo; El Salvador; Gabon; Gambia; Georgia; Guinea; Honduras; Jordan; Kazakhstan;

Kyrgyzstan; Libya; Mauritius; Mongolia; Montenegro; Nauru; Nicaragua; Peru; Saint Lucia; Saint Vincent and the Grenadines;

Saudi Arabia; Sudan; Tajikistan; Tanzania; Trinidad and Tobago; Uganda and U.S. Virgin Islands. This has to be taken into

account when interpreting the data. Source: UIS, Oct 2012

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Researchers by field of science, 2010 or latest

available year: Americas

Source: UIS, Oct 2012 Note: *only aggregated breakdowns are available (NSE and SSH). Data in this graph are based on

FTE data (# based on HC data). -1=2009, -2=2008, -3=2007, -5=2005, -7=2003.

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Researchers by field of science, 2010 or latest

available year: Europe

Source: UIS, Oct 2012 Note: *only aggregated breakdowns are available (NSE and SSH). Data in this graph are based on

FTE data (# based on HC data). -1=2009, -2=2008.

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Researchers by field of science, 2010 or latest

available year: Africa, Asia and the Pacific

Source: UIS, Oct 2012 Note: *only aggregated breakdowns are available (NSE and SSH). Data in this graph are based on

FTE data (# based on HC data). -1=2009, -2=2008, -3=2007, -4=2006, -5=2005, -8=2002.

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GERD by field of science, 2010 or latest

available year: Americas

Source: UIS, Oct 2012

Note: *only aggregated breakdowns are available (NSE and SSH). -1=2009, -2=2008, -7=2003.

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GERD by field of science, 2010 or latest

available year: Europe

Source: UIS, Oct 2012 Note: *only aggregated breakdowns are available (NSE and SSH). -1=2009, -2=2008, -3=2007, -

8=2002, -11=1999.

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GERD by field of science, 2010 or latest

available year: Africa, Asia and the Pacific

Source: UIS, Oct 2012 Note: *only aggregated breakdowns are available (NSE and SSH). -1=2009, -2=2008, -3=2007, -

4=2006, -5=2005, -9=2001.

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GERD and Health R&D expenditure as a

percentage of GDP, 2010 or latest available year

Source: UIS, Oct 2012 Note: -1=2009, -2=2008, -3=2007, -4=2006.

Rep.of Korea

Switzerland-2

Iceland-2

Singapore-1

Australia-2

Slovenia

Portugal

EstoniaCzech Rep.

Hungary

Russia

SpainSouth Africa-2

Serbia-1

China-1Ukraine-1

Turkey

LithuaniaCroatia

India-3Poland

Belarus-1

Malaysia-4

Slovakia

Argentina-1

Malta

Costa Rica-1

Bulgaria

Moldova-1

Cyprus

RomaniaLatviaUganda-1

Mexico-1

Chile-2Uruguay-1

Armenia-1

Ecuador-2

Azerbaijan-1

EthiopiaMongolia-1

Macedonia-2

Nigeria-3

Thailand-3Mozambique-3

Kyrgyzstan-1Bolivia-1

Madagascar-1Sri Lanka-2

Tajikistan-1

Macao-1

El Salvador-1

Paraguay-2

Guatemala-1

Trinidad&Tobago-1

-

0.1

0.2

0.3

0.4

0.5

0.6

- 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0

He

alth

R&

D e

xpe

nd

itu

re a

s %

of

GD

P

GERD as % of GDP

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Measuring R&D in Developing Countries:

Annex to the Frascati Manual (2010 / 2011)

UIS TP5: http://www.uis.unesco.org/Library/Documents/tech%205-eng.pdf

FM Annex:

http://www.oecd.org/science/innovationinsciencetechnologyandindustry/49793555.pdf

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Chapter 5: Specific fields of R&D activity:

Clinical trials

Frascati Manual: clinical trial phases 1, 2 and 3

are considered as R&D; but under-reported.

Internationalization and outsourcing of R&D

Decentralization of laboratories, activities of

pharmaceutical companies

Need to be conducted on a wide population

Growth area for developing countries

(Can) involve a significant amount of R&D

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Clinical trials conti…

Measurement of clinical trials

Registers of clinical trials available, e.g. WHO but also

national level

Funding often from abroad

Distributed among a number of local parties/performers:

• a local branch of the foreign main sponsor

• universities and university hospitals

• individual researchers

• local medical clinics

• locally registered PNPs

• international PNPs

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Clinical trials conti…

Measurement issues and recommendations

Occupation category of local staff

• Medical doctors and other professionals with at least

ISCED 5A degrees who are involved in phases 1 to 3

clinical trials should be considered researchers;

• Nurses and other staff with qualifications below ISCED

5A should be categorised as technicians.

FTE calculation is important (often part-time)

Attribution of sector of performance must be done

with care to avoid double counting

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UNESCO Institute for Statistics (UIS)

Formerly UNESCO Office of Statistics; Division of

Statistics on S&T.

Established in 1999; September 2001 - the UIS

moved from Paris to Montreal.

UIS presence in the regions at UNESCO offices.

United Nations data repository for:

• Education

• Science, Technology and Innovation (STI)

• Culture

• Communication

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Lines of action of STI programme

1. STI survey operation and data guardianship

1.1 Research and Development (R&D) Survey

1.2 Innovation Survey

2. Training on STI statistics: workshops & other

training activities

3. Standard setting and methodological

developments

4. Analysis and publications

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UIS is the UN lead agency for S&T statistics

Official S&T data source for:

• World Bank: World Development Indicators

• UN Statistical Division: UN Statistical Year Book

• UNDP: Human Development Report

Data publicly available at: http://stats.uis.unesco.org.

UIS Publications (can be downloaded from the UIS website): S&T Bulletins; Fact sheets, e-Atlas on R&D statistics

UNESCO Reports:

• UNESCO Science Report

• UNESCO World Report - Towards Knowledge Societies

• International Report on S&T and Gender

• History of Science Statistics at UNESCO