Data from: Early Firm Engagement, Government Research Funding, and the Privatization of Public Knowledge

This is a demo and partial dataset of a full dataset of paper- patent pair from chinese chemical scholars. The full dataset covers the published English papers and the paired patents by some of the scholars of the chemical and pharmaceutical field who received the Distinguished Young Scholars of the National Science Foundation of China (NSFC) during 2009–2018. Data related to the papers are obtained from the China National Knowledge Infrastructure (CNKI) and WoS; data related to the scholars are obtained from the NSFC website, the Ministry of Science and Technology of China (MSTC) website, and the scholars' home pages; and data related to the patents are obtained from the CNIPA website. The dataset also covers the  data on the average number of patent infringement cases at the prefecture level from China Judgements Online (CJO) using crawlers and text mining techniques to reflect the degree of local intellectual property protection (IPR). Besides the paper information, the dataset also contains the corresponding scholars' funding information and the paired patents[1] information gathered through “patent–paper pairs.”

This demo datasets covers about 1/15 samples of the full datast. The detail variable explanation will be found in the "label" and "Notes" column after every variable name in the DTA data file. As a series of related papers are published, we will gradually publish the full data set.

[1] A small number of papers may be paired with multiple patents. We deal with the situation of multiple paired patents when constructing variables. See “Variable” section of original paper for detailed illustrations.