Www.uis.unesco.org Measuring R&D Personnel CARIBBEAN REGIONAL WORKSHOP ON SCIENCE, TECHNOLOGY AND INNOVATION (STI) INDICATORS St Georges, Grenada 1-3 February.

Slides:



Advertisements
Similar presentations
1 Nia Sutton Becta Total Cost of Ownership of ICT in schools.
Advertisements

WP2 Labour input in the National Account: Italy Consortium meeting Helsinki 9-11 June 2005.
National Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics in Turkey Devrim YAĞAN 10 September 2013 Ankara.
Measuring R&D Personnel TRAINING WORKSHOP ON SCIENCE, TECHNOLOGY AND INNOVATION INDICATORS Cairo, Egypt September 2009.
Introduction to UIS data collection tools and guidelines TRAINING WORKSHOP ON SCIENCE, TECHNOLOGY AND INNOVATION INDICATORS Cairo, Egypt.
Data availability in participating countries AMAZBYMDRUUA FTE NO >HC GENDER OK Partial OK QUALIFICATIONS OK FIELDS OF SCIENCE OK NO.
Introduction to UIS data collection tools and guidelines. SEMINAR – WORKSHOP ON SCIENCE, TECHNOLOGY AND INNOVATION INDICATORS Phnom.
Science and Technology Indicators in Saint Lucia Judith Ephraim Ministry of Physical Development and the Environment.
Measuring R&D Personnel
STI Indicators – Trinidad and Tobago Sharon Parmanan National Institute of Higher Education, Research, Science and Technology (NIHERST)
Science, Technology and Innovation Data Hashemite Kingdom of Jordan
Measuring R&D Personnel Regional Workshop on Science, Technology and Innovation (STI) Indicators for Gulf countries Doha, Qatar 15 to.
Measuring R&D Expenditure SUB-REGIONAL HANDS-ON TRAINING ON SCIENCE, TECHNOLOGY AND INNOVATION INDICATORS Damascus, Syria September.
Measuring R&D Expenditure Regional Workshop on Science, Technology and Innovation (STI) Indicators for Gulf countries Doha, Qatar 15.
Measuring R&D Personnel South East Asian Regional Workshop on Science, Technology and Innovation Statistics Hanoi, Viet Nam 5-8 December.
Measuring R&D Expenditure South East Asian Regional Workshop on Science, Technology and Innovation Statistics Hanoi, Viet Nam 5-8 December.
Innovation data collection: Advice from the Oslo Manual South East Asian Regional Workshop on Science, Technology and Innovation Statistics.
Introduction to UIS data collection tools and guidelines West Africa Regional Science, Technology and Innovation Policy Reviews and.
Introduction to UIS and RICYT data collection tools and guidelines CARIBBEAN REGIONAL WORKSHOP ON SCIENCE, TECHNOLOGY AND INNOVATION.
R&D Surveys: Advice from the Frascati Manual National training workshop Amman, Jordan October 2010.
Measuring Research and Experimental Development (Part 2) SEMINAR – WORKSHOP ON SCIENCE, TECHNOLOGY AND INNOVATION INDICATORS Gaborone,
INSTITUTE for STATISTICS The International Standard Classification of Education ISCED 97.
2011 South East Asian Regional Workshop on Science, Technology and Innovation Indicators Dec 5 – 8, 2011 Region Report Macao SAR, China.
NuPECC Survey of Nuclear Physics Activities and Resources in member states First survey undertaken in 1997 and was intended as the first in a series which.
House Committee on Workforce and Technical Skills February 20, 2001.
Occupational coding: principles, practice and problems A workshop within the ESRC Research Methods Programme Peter Elias Institute for Employment Research.
2 Careers in Machining Technology Chapter Permission granted to reproduce for educational use only.© Goodheart-Willcox Co., Inc. Objectives List the.
INES Network on labour market, economic and social outcomes of learning UNSD Expert Group Meeting on International Economic and Social Classifications.
OverviewOverview – Preparation – Day in the Life – Earnings – Employment – Career Path Forecast – ResourcesPreparationDay in the LifeEarningsEmploymentCareer.
KEY FINDINGS FROM THE CAREERS OF DOCTORATE HOLDERS (CDH) PROJECT Achieving Impact – Socio-Economic Sciences & Humanities International Conference, Athens.
Workshop on Classification in the ESCWA Region Beirut, Lebanon, July 2004 Jordan experience in the work with the economic and social classifications.
A deepening of training needs in digital curation Claudia Engelhardt Framing the digital curation curriculum Florence, 6-7 May 2013.
Sweden MALMÖ UNIVERSITY THIS IS MALMÖ UNIVERSITY Founded in students staff Five interdisciplinary faculties Faculty.
Staffing. Definition of staffing number Staffing refers to the number and mixture of personnel assigned to work in nursing units at a given time. Goal.
NUT WORKLOAD CAMPAIGN The Next Steps STRB workload survey concluded: “no statistically significant changes in the numbers of hours worked by full-time.
Resourcing mentoring University of Westminster Mentoring for Students with Mental Health Issues Wednesday 30th November 2005 Sue Meads; Head of Mentor.
International Standard Classification of Occupations (ISCO 2008) and the measurement of cultural employment UIS Interagency Meeting on Cultural Employment.
She Figures 2009 European Commission, Research DG Francesca Crippa Unit L.4 - Scientific culture and gender issues
1 Production and use of S&T&I Statistics and Indicators in Republic of Macedonia State Statistical Office Ministry of Education and Science October 2008,
Examining the outputs of higher education and research funding Presented at the HSE Conference (April, 2010) Josh Hawley The Ohio State University.
Key issues viz graduate skills and jobs What do graduates do? What skills and knowledge are required in their work and how do these relate to the skills.
United Nations Statistics Division Overview. Overview  Of the many classifications in the Family, five reference classifications will be discussed at.
ECTS definition : Student centred system, Student centred system, Based on student workload required to : Based on student workload required to : Achieve.
USE OF LITHUANIAN CLASSIFICATION OF OCCUPATIONS ISCO 88, ISCO 2008 and the Development of the ESeC Regional Meeting, Oslo, 7 June 2005 Violeta Skamarociene.
European conference on quality in official statistics Rome, 8-10 July 2008 How to assess the quality of the Italian classification of occupations Francesca.
2. Some actual examples, core data & labour market data North East Regional Economic Model(NEEM) Overview and Training Session 24 June 2008 North East.
1 Item 7: National Accounts And Employment Data Using Employment Statistics in the Russian National Accounts Alexander Surinov Deputy Head of Rosstat Joint.
Use of sample surveys to measure international migration Experience of the Republic of Moldova Valentina Istrati, head of demography statistics and population.
United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys Bangkok,
UNESCO Institute for Statistics UIS data collection Instrument Monica Githaiga UNESCO Institute for Statistics Addis Ababa November 6, 2012.
Communication campaign Most common issues identified: analysis per cost category Antonio Requena Fernández FCH JU Financial Officer.
Executive, Administrative and Professional Exemptions FLSA 29 CFR 541.
1 United States Education at a Glance 2015 Andreas Schleicher Director for Education and Skills Release date: 24 November 2015.
1 Experiences with the Adult Education Survey in Norway and cross-country comparisons of AES data.
ESSnet on the harmonisation and implementation of a European socio- economic classification Workpackage 2 – Expertise of the basic variables ___________________.
Systematic list of the names of professions RZS 2011 WORKSHOP MA study programmes in the field of social work and social pedagogy Novi Sad, th November.
A Training Course for the Analysis and Reporting of Data from Education Management Information Systems (EMIS)
Research Colloquium on Post-School Education and Training 4 November 2014, Burgers Park Hotel Higher Education and Training Information System Jean Skene,
Staff data Classification Qualifications Space Utilisation
WHO The World Health Survey HOUSEHOLD QUESTIONNAIRE
IASE Satellite to 2017 World Statistics Congress
Measuring R&D Personnel
FLSA Training for Supervisors: Part IV
Multi-purpose center for adult education in clean environment
Clinical Engineering Lecture (3).
Update on Spanish Recruitment: Students, Staff, Fellows, Associates
Tertiary Education Graduate Tracer Study
Workshop on the data collection of occupational data 28 November 2008
Concepts of industry, occupation and status in employment - Overview
Presentation transcript:

Measuring R&D Personnel CARIBBEAN REGIONAL WORKSHOP ON SCIENCE, TECHNOLOGY AND INNOVATION (STI) INDICATORS St Georges, Grenada 1-3 February 2011

Frascati Manual deals with input indicators R&D Personnel All persons employed directly on R&D, as well as those providing direct services such as R&D managers, administrators, and clerical staff R&D Expenditure Will be the subject of a separate presentation Both inputs are necessary to secure an adequate representation of the effort devoted to R&D

Classification by occupation R&D Personnel consist of: Researchers Technicians and equivalent staff Other supporting staff

Researchers are professionals engaged in the conception or creation of new knowledge, products, processes, methods and systems and also in the management of the projects concerned

Researchers (contd.) ISCO-88 Major Group 2, Professionals, and Research and Development Department Managers (ISCO-88, 1237) and equivalent military personnel Includes managers and administrators engaged in the planning and management of the scientific and technical aspects of research Postgraduate students at the PhD level engaged in R&D should be considered as researchers

Technicians and equivalent staff Technicians whose main tasks require technical knowledge and experience perform scientific and technical tasks involving the application of concepts and operational methods, normally under the supervision of researchers Equivalent staff perform the corresponding R&D tasks under the supervision of researchers in the social sciences and humanities

Technicians and equivalent staff (contd.) ISCO-88 Major Group 3, Technicians and Associate Professionals Group 31, Physical and Engineering Science Associate Professionals Group 32, Life Science and Health Associate Professionals Class 3434, Statistical, Mathematical and Related Assoc. Professionals Include equivalent members of the armed forces Their tasks include: Bibliographic searches Preparing computer programmes Carrying out experiments, tests and analyses Preparing materials and equipment for experiments, tests and analyses Recording measurements, making calculations and preparing charts Carrying out statistical surveys and interviews

Other supporting staff Other supporting staff includes skilled and unskilled craftsmen, secretarial and clerical staff participating in R&D projects or directly associated with such projects.

Other supporting staff (contd.) ISCO-88 Major Groups 4, Clerks; 6, Skilled Agricultural and Fishery Workers; and 8, Plant and Machine Operators and Assemblers Managers and administrators dealing mainly with financial and personnel matters and general administration, insofar as their activities are a direct service to R&D Persons providing indirect services to R&D, such as security, cleaning, maintenance, canteen staff, etc. should be excluded

Headcount data (HC) Headcount (HC) data are data on the total number of persons who are mainly or partially employed on R&D. Headcount data are the most appropriate measure for collecting additional information about R&D personnel, such as age, gender or national origin.

Headcount data (HC) (contd.) Possible approaches and options Number of persons engaged in R&D at a given date (e.g. end of period) Average number of persons engaged in R&D during the (calendar) year Total number of persons engaged in R&D during the (calendar) year

Full-time equivalence (FTE) data R&D may be the primary function or maybe a secondary function It may also be a significant part-time activity (e.g. university teachers or postgraduate students) The number of persons engaged in R&D must, therefore, also be expressed in full-time equivalents on R&D activities FTE is the true measure of the volume of R&D

FTE (contd.) One FTE may be thought of as one person-year 30% of time on R&D should be considered as 0.3 FTE A full-time R&D worker is employed at an R&D unit for only six months = 0.5 FTE Other options FTEs based on the average hours worked per week FTEs devoted to each activity per week

HC and FTE calculation FT: > 90% PT: 60% PT: 40% SPT: 20% 4 HC 1 HC 2.2 FTE 1 FTE 0.6 FTE 0.4 FTE 0.2 FTE

Methods for calculating FTE FTE on a fixed date. Ignores seasonal variations in R&D employment FTE during a period is more appropriate Diversity of methods and the need for disclosure of method used Different methods are used by different countries and sectors Details of the methods employed should be made public

FTE - Specific problems in the higher education sector Definition of working time of an academic teacher/researcher Teaching hours usually well-defined, but absolute working time varies: Number of teaching hours per week Demands made by examinations and student supervision Administrative duties Nature of R&D activities and deadlines imposed Student vacation periods much of their professional activity – notably R&D – is carried out outside normal working hours. Calculation of full-time equivalence Must be based on total working time; No person can represent more than one FTE in any year and hence cannot perform more than one FTE on R&D.

FTE: sources Time-use surveys: (repeat every 5-6 years) (a)Based on researchers own evaluation of the distribution of their working time (on average over a whole year); Examples; with two categories: research and other activities or with more categories: – Undergraduate teaching time:… % – Postgraduate course-work time:… % – Postgraduate research time: … % – Personal research time: … % – Administration: … % – Examinations: … % – Student counseling: … % – Unallocable internal time: … % – External professional time: … % – Total 100%

FTE: sources (contd.) (b) Based on estimates by the heads of university departments or institutes Aggregate survey: Full-time / part-time / 50% of time / 30% of time / etc Cheaper method, less heavy burden on respondents Questionnaires usually addressed to the head of the institute

FTE: sources (contd.) R&D coefficients Non-survey-based coefficients derived from informed guesses to sophisticated models Sources of information Employment contracts Job descriptions Internal planning or evaluation tools Other countries coefficients Research grants given to different institutions S&T publications Accuracy of the coefficients depends on the quality of judgement.

FTE & R&D Expenditure (GERD) FTE is key to adequately calculating GERD Researchers salaries are a significant part of GERD GERD should only include the proportion of the salaries devoted to R&D, i.e. FTE R&D salaries Including HC salaries would lead to significantly overestimated GERD

Tables recommended by Frascati Manual and the UIS R&D personnel by sector and occupation (HC & FTE) R&D personnel and researchers by sector and by level of qualification (HC & FTE) Researchers and, if possible, other categories of R&D personnel (HC), by: Sex: Male/female Age: Under 25 years; years; years; years; years; 65 years and more Fields of Science (NS, ENG, MED, AG, SS, HM: more details in expenditure presentation)

Classification by formal qualification ISCED 6 (PhD level) ISCED 5A (University degrees below PhD level) ISCED 5B (Other tertiary level diplomas) Other qualifications: ISCED 4 (Post-secondary non-tertiary diplomas) ISCED 3 (Secondary education) Other qualifications (<ISCED3) Note: ISCED is under revision

Summary R&D Personnel Researchers, Technicians and equivalent staff, Other supporting staff Measurement Headcount (HC) data Full-time equivalence (FTE) data »Time-use surveys »Methods based on estimates by heads of university institutes »R&D coefficients

Thank you!