Dataset for the analysis of gendered research productivity affected by COVID-19 Pandemic

In many countries, the advent of COVID-19 has decreased the research output of female researchers due to gendered housekeeping and childcare responsibilities. This article covers different data sources for analyzing how the COVID-19 epidemic influenced female research productivity. The primary source is bibliographic data collected from Microsoft Academic Graph (MAG) for the years 2016 to 2020. The data consists of both offline published journal data and online preprint data and offers the titles, academic disciplines, and author information for each work, including the names and affiliations of each author. We extract open-source metadata from LinkedIn, the Johns Hopkins Coronavirus Resource Center, and Google's COVID-19 Community Mobility Reports linking bibliographic information to country-level characteristics to which authors belong. The article “The effect of the COVID-19 pandemic on gendered research productivity and its correlates” utilizes this data (Kwon, Yun & Kang, 2021).