Invention Patents vs Research Articles Ratio study on WIPO, OECD, EU tables

1 DataSets for Paper-Patent comparison}
Three datasets for paper/patent related data.
The first three files are in Excel format the 4th in Python. The initial dataset is located first.
Then selected subset and calculations are generated.
1.1 Article/patent ratio according to Global Innovation Index}
World Bank declared this dataset is classified as Public under the Access to Information Classification Policy under Definition: Scientific and technical journal articles refer to the number of scientific and engineering articles published in a lot of fields. Scientific and technical article counts are from journals classified by the Institute for Scientific Information's Science Citation Index (SCI) and Social Sciences Citation Index (SSCI).
We isolated two codes:
1. WIPO, Patent applications, residents indicator code 2012,
2. SCIMAGO, Scientific and technical journal articles indicator code 2015

Dutta, S., Lanvin, B., Wunsch-Vincent, S., 2020. Global innovation index 2020. WIPO, Johnson Cornell University.
URL: https://www.globalinnovationindex.org/about-gii.

1.2 Article - patent ratio according to Global Innovation Index}
All classifications and numbers are per country GDP. We focus on three items:
1. PCT patents by origin/bn PPP USD GDP,
2. Scientific and technical articles/bn PPP USD GDP and
3. Citable documents H-index
OECD, 2014. Patents by main technology and by international patent classification (ipc) URL: https://www.oecd-ilibrary.org/content/data/data-00508-en ,
doi: https://doi.org/10.1787/data-00508-en

1.3 Article Patent Ratio according European Patent office
Scientific and technical journal articles - tcdata360. URL: https://tcdata360.worldbank.org/indicators/IP.JRN.ARTC.SC?country=BRA&indicator=2015&viz=line_chart&years=2003,2016 .
Download link https://tcdata360-backend.worldbank.org/api/v1/datasets/56/dump.csv

1.4 PYTHON sheet to solve min-max scaling data for PATENT/PAPER ratio
To compare patents with papers, normalize my data with min-max scaling method
The formula for calculating normalized score is the following
X new = (X — X min)/ (X max — X min)
1 Python 1 PDF file

1 用于论文-专利对比的数据集
本数据集包含三组与论文/专利相关的数据。前三个文件格式为Excel，第四个为Python格式。初始数据集置于首位，随后生成选定的数据集子集与对应计算结果。
1.1 基于全球创新指数（Global Innovation Index）的论文/专利比数据集
世界银行依据《信息获取分类政策》将本数据集归类为公开数据集，其定义为：科学技术期刊论文指多领域发表的科学与工程类文章数量，该类文章的统计数据来自科学信息研究所（Institute for Scientific Information）的科学引文索引（Science Citation Index, SCI）与社会科学引文索引（Social Sciences Citation Index, SSCI）收录的期刊。
我们提取了两项指标代码：
1. 世界知识产权组织（World Intellectual Property Organization, WIPO）的居民专利申请量指标代码2012；
2. SCIMAGO的科学技术期刊论文量指标代码2015。
引用来源：Dutta, S., Lanvin, B., Wunsch-Vincent, S., 2020. 2020年全球创新指数。世界知识产权组织，康奈尔大学约翰逊分校。网址：https://www.globalinnovationindex.org/about-gii.

1.2 基于全球创新指数的论文-专利比数据集
所有分类与数值均按各国每十亿美元购买力平价美元GDP计算。我们聚焦于三项指标：
1. 起源国PCT专利（Patent Cooperation Treaty）申请量/十亿美元购买力平价美元GDP；
2. 科学技术期刊论文量/十亿美元购买力平价美元GDP；
3. 可引用文献H指数。
引用来源：经济合作与发展组织（Organisation for Economic Co-operation and Development, OECD），2014. 按主要技术领域与国际专利分类（International Patent Classification, IPC）划分的专利数据。网址：https://www.oecd-ilibrary.org/content/data/data-00508-en，doi: https://doi.org/10.1787/data-00508-en

1.3 基于欧洲专利局（European Patent Office）的论文-专利比数据集
科学技术期刊论文数据来自tcdata360平台。网址：https://tcdata360.worldbank.org/indicators/IP.JRN.ARTC.SC?country=BRA&indicator=2015&viz=line_chart&years=2003,2016。下载链接：https://tcdata360-backend.worldbank.org/api/v1/datasets/56/dump.csv

1.4 用于计算专利/论文比的最小-最大缩放（min-max scaling）归一化数据的Python脚本
为实现专利与论文的横向对比，我们采用最小-最大缩放方法对数据进行归一化处理。归一化得分的计算公式如下：
X_new = (X — X_min) / (X_max — X_min)
本部分包含1个Python文件与1个PDF文件。