Survey on Gender Barriers in the European Energy R&I Workforce
by Maria Camilla Fraudatario·Updated 2d ago
1.3 MB1files
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Description
A 2026 cross-national survey of employees at European public and private universities and research organizations in the energy sector. Authored by Maria Camilla Fraudatario, the dataset includes sociographic and professional variables, organizational context, and 43 psychometric items measuring work-related quality of life, perceived gender bias, and workplace diversity climate. It was used to identify contrasting worker profiles regarding gender inclusivity.
Use Cases
Analyzing perceptions of institutional support for women's careers based on survey items about overt inequalities and implicit biases.
Clustering workforce segments based on psychometric scales measuring Work-Related Quality of Life and Perceived Subtle Gender Bias.
Investigating the relationship between workplace practices like professional recognition and empowerment and commitment to sustainability.
Comparing gender-based experiences across different sub-sectors of the European energy R&I landscape, such as renewable energy.
Strengths
Includes 43 validated psychometric items across four established scales, enabling robust measurement of latent constructs.
Survey design captures cross-national data from both public and private European R&I organizations, providing a multi-context view.
Analysis identified two distinct clusters (Critical and Neutral) based on factor and cluster analysis, demonstrating clear patterns in the data.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for certain statistical methods.
The dataset is stored as a 1.3 MB DOCX file, which may require extraction and formatting to be used for analysis.
Provenance
Source
figshare
Collection Method
Cross-national survey conducted among employees of European public and private universities and research organizations in the energy sector.
Freshness
Last updated 2026-06-03 04:47:17; freshness should be verified.
Geography
European energy research and innovation organizations.
License is CC-BY-4.0. Data is contained within a 1.3 MB DOCX file; users will need to extract the tabular data for analysis.