Coronaviruses: A patent dataset report for research and development (R&D) analysis
| Autor: | Oscar Gutiérrez, Fiderman Machuca-Martínez, Rubén Jesús Camargo Amado |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
2019-20 coronavirus outbreak
Patent analysis Competitive intelligence Distribution (economics) lcsh:Computer applications to medicine. Medical informatics Patent citation 03 medical and health sciences 0302 clinical medicine Antiviral Therapy Market analysis Biochemistry Genetics and Molecular Biology lcsh:Science (General) 030304 developmental biology 0303 health sciences Multidisciplinary Competitive Intelligence Family structure business.industry Antiviral therapy Data science Protease inhibitor 2019-nCoV lcsh:R858-859.7 Triazole Glycoprotein business Raw data 030217 neurology & neurosurgery lcsh:Q1-390 |
| Zdroj: | Data in Brief, Vol 30, Iss, Pp 105551-(2020) Data in Brief |
| ISSN: | 2352-3409 |
| Popis: | This work shows a patent database for Coronaviruses that provides an overview of the patenting activity and trends in focused antiviral therapy with the use of triazole based compounds, glycoprotein, and protease inhibitors as possible treatment. The patent data was obtained from Orbit Intelligence Software using a patent family structure to get a big database that could be used for built patent landscape report (PLR), market analysis, technical and competitive intelligence, and monitoring and survey of a new ideas for the treatment of coronavirus diseases. The raw data is reported in four databases, which were classified according to different items: legal status (alive, dead), 1st application year (after 2015, 2011-2015, 2006-2010, 2001-2005), and Top 5 International Patents Classifications (IPC). The main players, the investment trend, markets, geographical distribution, technology overview, technologies distribution, and patent citation are showed by this analysed data report. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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