生命科学公司中的女性：来自数据整合的性别多样性和角色指标

IF 3.5 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Big Data Research Pub Date : 2025-03-28 DOI:10.1016/j.bdr.2025.100526

Laura Benedan , Cinzia Colapinto , Paolo Mariani , Laura Pagani , Mariangela Zenga

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引用次数: 0

摘要

本研究考察了意大利生命科学公司的性别平等和包容性状况。编制了一份特别调查问卷，分发给各公司的人力资源专业人员，目的是收集关于性别平等做法的见解。我们的原始数据已与AIDA数据库的现有信息相结合。这包括公司规模的信息，包括员工数量和销售收入。为了评估他们对可持续发展和性别平等的承诺程度，我们分析了他们的网站。构建了三个统计指标，并将其组合为一个实用的综合指标。该指数可以在未来的研究中用于量化和衡量每个公司对性别平等和包容的总体倾向。

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Women in life sciences firms: Gender diversity and roles indicator from data integration

The present study examines the state of gender equality and inclusion in Italian life sciences companies. An ad hoc questionnaire was developed and distributed to human resources professionals from various firms with the objective of gathering insights on gender equality practices. Our primary data have been combined with available information from the AIDA database. This included information on the size of the companies in terms of the number of employees and sales revenues. To assess the degree of ' commitment to sustainability and gender equality, we analysed their websites. Three statistical indicators were constructed and combined into a practical synthetic index. This index may be used in future research to quantify and measure each company's overall propensity towards gender equality and inclusion.

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来源期刊

Big Data Research Computer Science-Computer Science Applications

CiteScore

8.40

自引率

3.00%

发文量

期刊介绍： The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.