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OECD WORK ON S&T INDICATORS AND THE INTEREST IN

SCIENTOMETRICS OECD – Experts dialogue, 25 March 2014

Fernando Galindo-Rueda Economic Analysis and Statistics Division OECD Directorate for , and Industry The OECD context

• International organisation. – “Better policies for better lives”. – 34 member countries, broader engagement – Secretary General, Council of Ambassadors, Secretariat and thematic Committees and working parties which oversee work • Types of outputs – Policy recommendations – Standards, rules, … – Policy relevant evidence and statistics, often co- produced with countries’ authorities – Policy analysis, qualitative and quantitative Background on S&T indicator work

• Work on S&T indicators dating back to 1960s – Formalisation of guidelines on measuring R&D efforts (expenditure and personnel): • The Frascati Manual, 1963 – being revised for 6th time • Collection and dissemination of data: – Extended to work on human resources for S&T, technology balance of payments, in firms, , … • Measurement work at OECD focused on data sources “controlled” by public authorities participating in OECD fora – Brief interest in mid 1990s in – “methods” but no guidelines.

Scientometrics at OECD

• Since 2010, increasing use of bibliometric indicators in OECD flagship publications on S&T – For example, see hyperlinks in agenda. • Microdata-based approach promoted in 2010 OECD Innovation Strategy. – Promotion of microdata use and linking within countries. Approach of cross-country co-ordinated analyses. – In-house use of microdata under license () within OECD Micro-Data Lab. • As part of building a broader, linked microdata infrastructure. • OECD MDL brings together different administrative and public data sources. • Collaborations with external organisations – NISTEP, Scimago, MCT-Brazil and JSTA. – Participation in other initiatives... • Increasing interest in specific policy areas – Territorial development, environment,… Some topics of interest

• Beyond counting publications: excellence and quality-indicators • Measures of collaboration and impact • Mobility of scientists • Dynamics of emergent science areas • (complex) relationships across science domains • The link between science and technology • Spatial analysis of scientometric data • Access to scientific outputs (publications and data) • Links between scientists and other communities – knowledge flows • Quality and interoperability of scientometric and other S&T data sources Objectives

• Bring together different communities of practice, producers and users of data and analysis • Showcase new developments that address some of the shortcomings of traditional indicators • Seek input into where OECD can add more value • Help co-develop a policy research agenda – Help identify a core set of agreed principles to work towards…? – Use open available OECD fora, e.g. Blue Sky 2016.