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The OECD Directorate for Science, Technology and Innovation (DSTI) manages databases of internationally comparable statistics. These statistics and indicators underpin policy-related analytical work, particularly with respect to links between technology, competitiveness and globalisation. DSTI also plays a leading role in the development of international statistical standards in the STI area.
Statistics on biotechnology firms, biotechnology R&D (including public sector expenditures), biotech applications and patents.
Data set on R&D expenditure by industry which addresses the problems of international comparability and breaks in the time series of the official business enterprise R&D data.
A timely set of indicators that reflect the level and structure of the efforts undertaken by OECD member countries and selected non-member economies in the field of science and technology.
This electronic publication provides recent statistics on the resources devoted to the R&D in OECD countries and in nine non-member economies.
The OECD has played a key role in the development of international guidelines for surveys of business innovation and the design of indicators constructed with data from such surveys. In addition to developing methodological guidance, the OECD also carries out analytical studies using innovation-related indicators and microdata.
This page presents the OECD statistical work on human resources in science and technology, more specifically the OECD/UNESCO Institute for Statistics/Eurostat project on careers of doctorate holders.
Patent indicators are used to map aspects of the innovative performance and technological progress of countries, regions or certain specific domains and technology fields.
This paper presents the results of data collection across 18 countries and demonstrates that it is possible to produce new policy relevant indicators on public funding of R&D. Initial findings highlight interesting differences across countries in terms of their approaches to R&D funding.
Measuring the economic and social impacts of the Internet presents several challenges. This working paper reviews the rapidly changing nature of the Internet, the need for more granular data in order to understand its complexity, and the phenomenon of big data.