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202-OECD-Microdata lab
1.
Directorate for Science,
Technology and Innovation www.oecd.org/sti OECD Science, Technology and Innovation Micro-data Lab An infrastructure for research The STI Micro-data Lab, a data infrastructure project of the OECD Directorate for Science, Technology and Innovation (STI), collects and links large-scale administrative and commercial micro-level datasets. These mainly relate to administrative data such as intellectual property (IP) assets, including patents, trademarks and registered designs; scientific publications; and information on companies from private providers. IP data are collected in the framework of the OECD-led IP Statistics Task Force, which gathers representatives from IP offices worldwide. These micro-data, which complement and enhance official statistics like macro- aggregated or survey-based data, have the advantage of being granular in nature and comprehensive in time and geographical coverage. By providing detailed information about the behaviour of economic agents and the way science and technology develop, these data help address policy-relevant questions, such as those related to the generation and diffusion of new technologies, the different ways in which firms innovate, science- industry links, researchers’ mobility patterns or the role of knowledge-based assets in firms’ economic performance. Intellectual property rights Patents, trademarks and designs Scientific articles SCOPUS® - Elsevier B.V. Making sense of data The different micro datasets of the STI Micro- data Lab can be used in an independent fashion, e.g. to develop indicators related to specific ana- lytical questions, or combined in such a way as to generate new information related to a broader array of issues or to more complex dynamics. As IP data do not contain firm identification codes, assigning IP rights to firms requires harmonising and linking firms’ and IP assignees’ names using word-matching algorithms. To improve the granularity of analysis, addresses are linked to about 5 500 intra- country regions in more than 40 countries. Experimental data mining techniques have been developed to exploit information from IP and bibliographic data and identify accelerations in science and technology- related activities (“bursts”). Enterprises Company names Industrial sectors Financial statements Patents Companies / institutions Inventors Technology / citations Trademarks Companies / institutions Products / services Scientific articles Affiliations / institutions Articles / citations Authors Designs Companies / institutions Products Creators Industry-level statistics STAN family databases Input-Output TiVA -Researchers S&T indicators R&D expenditures Experimental analysis The STI Micro-data Lab serves as a platform for the development of new metrics and methodologies, and feeds into a large range of analyses. Experimental indicators built using this infrastructure are regularly published by the OECD, notably in the OECD Science, Technology and Industry Scoreboard. The STI Micro-data Lab is open to visiting researchers. Access is granted free of charge upon the submission of a formal request, and subject to the respect of confidentiality rules and to the project being of mutual interest to the OECD and the visiting fellow(s). Specific micro-data sets are made available upon request (for instance: the OECD’s REGPAT, HAN or Patent Quality databases as well as the EC-JRC/OECD COR&DIP© database). 0 10 20 30 40 50 60 70 80 90 100 0 250 500 750 1 000 1 250 1 500 1 750 2 000 % R&D ranking of companies R&D expenditures Patents Trademarks R&D expenditures and the IP bundle of the top 2 000 R&D companies, 2012 Source: OECD, STI Scoreboard 2015, based on STI Micro-data Lab: Intellectual Property Database, June 2015. Statistical insights Details about the location of authors, inventor and designers or about applicants’ names and addresses shed light on scientific, inventive, branding and design activities occuring in different countries, and on how different actors interact. The technology, design and product domains that IP rights protect can be inferred from the technology or product classification codes provided in IP documents. 30 20 10 0 % of patents 0 10 20 30 CHE FRA JPN DEU USA % of trademarks / designs European market Patents TrademarksDesigns 20 15 10 5 0 % of patents 0 5 10 15 20 TWN DEU KOR JPN USA % of trademarks US market 83 % 86 % 79 % 48% 8 6 4 2 0 % of patents 0 2 4 6 8 FRA KOR DEU USA JPN % of trademarks / designs Japanese market 83% IP bundle of top five applicants, 2011-13 Source: OECD, STI Scoreboard 2015, based on STI Micro-data Lab: Intellectual Property Database, June 2015. 0 20 40 60 80 100 % Japan United States Korea Chinese Taipei Germany China Italy Number of patents, 2010-12 Top players in emerging technologies, 2010-12 Share of top three economies’ patents in top 20 technologies bursting from 2005 onwards Source: OECD, STI Scoreboard 2015, based on STI Micro-data Lab: Intellectual Property Database, June 2015. Going further IP data - http://oe.cd/ipstats Scientometrics - http://oe.cd/scientometrics Contact us sti.microdatalab@oecd.org Recent methodological work exploits information contained in patent documents to construct indicators mirroring the technological and economic value of patented inventions, and their possible impact on subsequent technological developments.
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