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. 数据集：论文-专利比较集

本数据集包含三个与论文/专利相关的数据集。
前三个文件采用 Excel 格式，第四个文件使用 Python 格式。初始数据集位于最前面，随后生成选定子集和计算结果。
1.1 全球创新指数下的论文/专利比率
世界银行宣布该数据集根据《信息获取分类政策》中的定义被归类为公共数据。定义如下：科学技术期刊文章指在众多领域发表的科学技术文章数量。科学技术文章计数来自被科学信息研究所科学引文索引（SCI）和社会科学引文索引（SSCI）分类的期刊。
我们提取了两个指标代码：
1. WIPO，专利申请，居民指标代码 2012，
2. SCIMAGO，科学技术期刊文章指标代码 2015。
Dutta, S., Lanvin, B., Wunsch-Vincent, S., 2020. 全球创新指数 2020. WIPO，约翰逊·科奈尔大学。
URL: https://www.globalinnovationindex.org/about-gii.
1.2 全球创新指数下的论文-专利比率
所有分类和数字均按国家 GDP 计算。我们关注以下三项内容：
1. PCT 专利，按起源/bn PPP USD GDP 计算，
2. 科学技术文章/bn PPP USD GDP，
3. 引用文献 H 指数。
OECD，2014. 按主要技术和国际专利分类（ipc）的专利。
URL: https://www.oecd-ilibrary.org/content/data/data-00508-en ，
doi: https://doi.org/10.1787/data-00508-en
1.3 欧洲专利局下的论文专利比率
科学技术期刊文章 - tcdata360。
URL: 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 Python 工作表：用于解决专利/论文比率的最小-最大缩放数据
为了比较专利与论文，使用最小-最大缩放法对数据进行标准化。
计算标准化分数的公式如下
X new = (X — X min)/ (X max — X min)
1 Python 1 PDF 文件