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Geocoding of worldwide patent data

The dataset provides geographic coordinates for inventor and applicant locations in 18.8 million patent documents spanning over more than 30 years. The geocoded data are further allocated to the corresponding countries, regions and cities. When the address information was missing in the original pat...

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Detalles Bibliográficos
Autores principales: de Rassenfosse, Gaétan, Kozak, Jan, Seliger, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834584/
https://www.ncbi.nlm.nih.gov/pubmed/31695047
http://dx.doi.org/10.1038/s41597-019-0264-6
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author de Rassenfosse, Gaétan
Kozak, Jan
Seliger, Florian
author_facet de Rassenfosse, Gaétan
Kozak, Jan
Seliger, Florian
author_sort de Rassenfosse, Gaétan
collection PubMed
description The dataset provides geographic coordinates for inventor and applicant locations in 18.8 million patent documents spanning over more than 30 years. The geocoded data are further allocated to the corresponding countries, regions and cities. When the address information was missing in the original patent document, we imputed it by using information from subsequent filings in the patent family. The resulting database can be used to study patenting activity at a fine-grained geographic level without creating bias towards the traditional, established patent offices.
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spelling pubmed-68345842019-11-14 Geocoding of worldwide patent data de Rassenfosse, Gaétan Kozak, Jan Seliger, Florian Sci Data Data Descriptor The dataset provides geographic coordinates for inventor and applicant locations in 18.8 million patent documents spanning over more than 30 years. The geocoded data are further allocated to the corresponding countries, regions and cities. When the address information was missing in the original patent document, we imputed it by using information from subsequent filings in the patent family. The resulting database can be used to study patenting activity at a fine-grained geographic level without creating bias towards the traditional, established patent offices. Nature Publishing Group UK 2019-11-06 /pmc/articles/PMC6834584/ /pubmed/31695047 http://dx.doi.org/10.1038/s41597-019-0264-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
de Rassenfosse, Gaétan
Kozak, Jan
Seliger, Florian
Geocoding of worldwide patent data
title Geocoding of worldwide patent data
title_full Geocoding of worldwide patent data
title_fullStr Geocoding of worldwide patent data
title_full_unstemmed Geocoding of worldwide patent data
title_short Geocoding of worldwide patent data
title_sort geocoding of worldwide patent data
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834584/
https://www.ncbi.nlm.nih.gov/pubmed/31695047
http://dx.doi.org/10.1038/s41597-019-0264-6
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