广东省高校专利运营能力情报分析——以专利运营能力前10所高校为例
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摘要
从专利情报分析的角度,从定量和定性两方面分析广东省高校专利运营能力较强的前10所高校运营情况,包括专利运营总体趋势、专利转让时间特征和地域分布、技术热点分布和被引频次等。研究结果表明,该10所高校的专利运营能力已经走在全国高校前列,但仍需进一步完善专利运用体制建设、培育高价值专利、促进科技成果转化,在广东省乃至全国高校的专利运营中起到引领示范作用。
From the point of view of patent information analysis, this paper analyzes the operation of the top 10 universities with strong patent operation ability in Guangdong Province from both quantitative and qualitative aspects, including the general trend of patent operation, the time characteristics and geographical distribution of patent transfer,distribution of technical hot spots and frequency of citation, etc. The results show that, the patent operation ability of these 10 colleges and universities has been in the forefront of the national universities, but it is still necessary to further improve the patent application system, cultivate high value patents, and promote the transformation of scientific and technological achievements, plays a leading role in demonstration in patent operation of colleges and universities of Guangdong and even all over the country.
From the point of view of patent information analysis, this paper analyzes the operation of the top 10 universities with strong patent operation ability in Guangdong Province from both quantitative and qualitative aspects, including the general trend of patent operation, the time characteristics and geographical distribution of patent transfer,distribution of technical hot spots and frequency of citation, etc. The results show that, the patent operation ability of these 10 colleges and universities has been in the forefront of the national universities, but it is still necessary to further improve the patent application system, cultivate high value patents, and promote the transformation of scientific and technological achievements, plays a leading role in demonstration in patent operation of colleges and universities of Guangdong and even all over the country.
引文
[1]周胜生,高可,饶刚,等.专利运营之道[M].北京:知识产权出版社,2016.
[2]广东省知识产权局.年度统计手册[EB/OL].(2017-05-06)[2018-01-20].Http://www.gdipo.gov.cn/tjxx/tjxx.aspx.
[3]刘悦如,姚俊兰,杨锋.上海高校专利运营能力探究[J].知识管理论坛,2015(1):7-14.
[4]知识产权出版社有限责任公司.中国知识产权大数据与智慧服务系统(DI Inspiro)[EB/OL].(更新日期不详)[2018-01-20].Http://www.ZLdsj.com.
[5]广州奥凯信息咨询有限公司,广东省知识产权研究与发展中心.广东省专利大数据应用服务系统[EB/OL].(更新日期不详)[2018-01-20].Http://www.cnipsun.com.
[6]慎金花,何青芳,刘悦如,等.上海地区高校专利运营能力情报分析[J].图书馆杂志,2015(2):47-52.
[7]王健.我国高校专利转化能力的比较研究[J].中国高校科技,2015(9):55-57.
[8]李强,顾新.我国高校许可专利与专利权转让专利的对比分析[J].科技管理研究,2014(10):88-93.
[9]林俊.基于专利数据的福建省高校专利运营现状及特点分析[J].海峡科学,2017(10):61-64.
[10]万小丽.专利质量指标中“被引次数”的深度剖析[J].情报科学,2014(1):68-73.
[11]袁慧,马建霞,王媛哲.专利运营模式发展研究及其在国内运用的对比分析[J].科技管理研究,2017(12):159-164.
[12]张黎黎,顾晓禹.基于专利分析的吉林省高校科技创新能力分析:以2006年-2016年专利数量排名前十的高校为例[J].吉林广播电视大学学报,2017(10):29-31.
[2]广东省知识产权局.年度统计手册[EB/OL].(2017-05-06)[2018-01-20].Http://www.gdipo.gov.cn/tjxx/tjxx.aspx.
[3]刘悦如,姚俊兰,杨锋.上海高校专利运营能力探究[J].知识管理论坛,2015(1):7-14.
[4]知识产权出版社有限责任公司.中国知识产权大数据与智慧服务系统(DI Inspiro)[EB/OL].(更新日期不详)[2018-01-20].Http://www.ZLdsj.com.
[5]广州奥凯信息咨询有限公司,广东省知识产权研究与发展中心.广东省专利大数据应用服务系统[EB/OL].(更新日期不详)[2018-01-20].Http://www.cnipsun.com.
[6]慎金花,何青芳,刘悦如,等.上海地区高校专利运营能力情报分析[J].图书馆杂志,2015(2):47-52.
[7]王健.我国高校专利转化能力的比较研究[J].中国高校科技,2015(9):55-57.
[8]李强,顾新.我国高校许可专利与专利权转让专利的对比分析[J].科技管理研究,2014(10):88-93.
[9]林俊.基于专利数据的福建省高校专利运营现状及特点分析[J].海峡科学,2017(10):61-64.
[10]万小丽.专利质量指标中“被引次数”的深度剖析[J].情报科学,2014(1):68-73.
[11]袁慧,马建霞,王媛哲.专利运营模式发展研究及其在国内运用的对比分析[J].科技管理研究,2017(12):159-164.
[12]张黎黎,顾晓禹.基于专利分析的吉林省高校科技创新能力分析:以2006年-2016年专利数量排名前十的高校为例[J].吉林广播电视大学学报,2017(10):29-31.