2021-12-31-世界知识产权组织-利用创新和知识产权数据进行性别分析指南(英)_16页_2mb
报告摘要
Gender Analysis Guidelines for Innovation and IP Data
Purpose
Analyzing gender in innovation and IP data helps ensure equal access and use of the IP system, translating creativity into economic, social, and cultural development. It addresses challenges in finding gender data in IP records.
Data Collection Methods
- Direct collection: Request gender information during IP application, e.g., through forms for inventors. Advantages include direct accuracy; disadvantages include resource intensity and limited retroactive use.
- Indirect methods: Use secondary sources (e.g., employment surveys), semantic rules (e.g., language name patterns), or gender-name dictionaries (e.g., WIPO's dictionary). Consider data quality, coverage, and implementation costs.
Using WIPO's Gender-Name Dictionary
- Steps for application: Prepare IP data for given names, select the appropriate dictionary version (based on country or language), assess attribution results by checking for errors and expanding dictionaries as needed.
Choosing Gender-Sensitive Indicators
- Various indicators can track gender disparities, including:
- Percentage of women inventors or creators.
- Collaboration metrics, such as team sizes and networks.
- Industry/sector analysis using IP classifications.
- Geographical distribution by location.
- Indicators should align with policy goals, e.g., a 50% target for women inventors, but consider limitations like team dynamics.
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