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Sci Data. 2018 Mar 27;5:180042. doi: 10.1038/sdata.2018.42.

A database linking Chinese patents to China's census firms.

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Tilburg University, 5037 AB Tilburg, Tilburg, 5000 LE, Netherlands.
University of Colorado, Leeds School of Business, 995 Regent Dr, Boulder, CO 80309, USA.
Tulane University, Freeman School of Business, 7 McAlister Dr., Golding/Woldenberg Hall, New Orleans, Louisiana 70118, USA.
University of International Business & Economics, 10 Huixin Dongjie, Chaoyang District, Beijing 100029, China.


To meet researchers' increasing interest in the fast growing innovation activities taking place in China, we match patents filed with China's State Intellectual Property Office to firms covered in China's Census. China has experienced a strong growth in patent filings over the past two decades, and has since 2011 become the world's top patent filing country. China's Census database covers about one million unique manufacturing firms from 1998-2009, representing the broad Chinese economy. We design data parsing and pre-processing routines to clean and stem firm and assignee names, create a matching algorithm that fits with our data and maintains a balance between matching accuracy and workload of manual check, and implement a systematic manual check process to filter out false positives generated from computerized matching. Our project generates 1,113,588 matches for the Census firms, among which 849,647 patents are uniquely matched. By creating the patent-firm linked dataset, we hope to reduce duplicative effort and encourage more research to better understand China's fast changing innovation landscape.

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