Measuring the Digital Transformation

Chapter 5. Unleashing Innovation

5.1. Knowledge base

5.2. Science and digitalisation

5.3. Innovative outputs

5.4. Market entry

5.5. Open government data

5.6. Roadmap: The digitalisation of science

5.7. Roadmap: Measuring open source software

5.8. Roadmap: The Internet as a source for statistical data

Notes

Cyprus

The following note is included at the request of Turkey:

The information in this document with reference to “Cyprus” relates to the southern part of the Island. There is no single authority representing both Turkish and Greek Cypriot people on the Island. Turkey recognizes the Turkish Republic of Northern Cyprus (TRNC). Until a lasting and equitable solution is found within the context of the United Nations, Turkey shall preserve its position concerning the “Cyprus issue”.

The following note is included at the request of all of the European Union Member States of the OECD and the European Union:

The Republic of Cyprus is recognized by all members of the United Nations with the exception of Turkey. The information in this document relates to the area under the effective control of the Government of the Republic of Cyprus.

Israel

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities or third party. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international law.

It should be noted that statistical data on Israeli patents and trademarks are supplied by the patent and trademark offices of the relevant countries.

References

Calvino, F. and C. Criscuolo (2019), “Business Dynamics and Digitalisation”, OECD Science, Technology and Industry Policy Papers, forthcoming.

Calvino, F., C. Criscuolo, L. Marcolin and M. Squicciarini (2018), “A taxonomy of digital intensive sectors”, OECD Science, Technology and Industry Working Papers, No. 2018/14, OECD Publishing, Paris, https://doi.org/10.1787/f404736a-en.

Inaba, T. and M. Squicciarini (2017), “ICT: A new taxonomy based on the international patent classification”, OECD Science, Technology and Industry Working Papers, No. 2017/01, OECD Publishing, Paris, http://dx.doi.org/10.1787/ab16c396-en.

Knaus, J. and M. Palzenberger (2018), “PARMA. A full text search based method for matching non-patent literature citations with scientific reference databases. A pilot study”, Technical Report by the Max Planck Digital Library, Big Data Analytics Group, Munich, http://dx.doi.org/10.17617/2.2540157.

OECD (2017a), “OECD Science, Technology and Industry Scoreboard 2017: The digital transformation”, OECD Publishing, Paris, http://dx.doi.org/10.1787/9789264268821-en.

OECD (2017b), Government at a Glance 2017, OECD Publishing, Paris, http://dx.doi.org/10.1787/gov_glance-2017-en.

OECD (2015), Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development, The Measurement of Scientific, Technological and Innovation Activities, OECD Publishing, Paris, https://doi.org/10.1787/9789264239012-en.

OECD and SCImago Research Group (CSIC) (2016), Compendium of Bibliometric Science Indicators, OECD, Paris, http://oe.cd/scientometrics.

Poege, F., S. Baruffaldi, F. Gaessler and D. Harhoff (2018), “Tracing the path from Science to Innovation - A Novel Link between Non-Patent Literature References and Bibliometric Data”, Working Paper, Max Planck Institute for Innovation and Competition, Munich, https://www.ip.mpg.de/en/projects/details/tracing-the-path-from-science-to-technology.html.