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FAIR-SWENG: dataset on gender fairness in software engineering academic landscape

The dataset contains academic performance metrics of Software Engineers worldwide.

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Personal Data Attributes

Description: Personal Data related Information

Field Value
Anonymised Pseudo Anonymized
ChildrenData No
Cross Border Authorised Yes
Data Protection Impact Assessment Yes
Ethics Committee Approval Yes
General Data Yes
Informed Consent Template Yes
Personal Data No
Personal data was manifestly made public by the data subject No
Sensitive Data Yes
Additional Info
Field Value
Accessibility Both
Accessibility Mode On-Site
Availability On-Line
Basic rights Download
Creation Date 2023-11-16 14:45
Creator D'Angelo, Andrea, [email protected], orcid.org/0000-0002-0577-2494
Dataset Citation @misc{daloisio2023datadriven, title={Data-Driven Analysis of Gender Fairness in the Software Engineering Academic Landscape}, author={Giordano d'Aloisio and Andrea D'Angelo and Francesca Marzi and Diana Di Marco and Giovanni Stilo and Antinisca Di Marco}, year={2023}, eprint={2309.11239}, archivePrefix={arXiv}, primaryClass={cs.CY}}
Dataset Re-Use Safeguards .
Field/Scope of use Research only
Format csv
Group Others
License term 2023-11-16 14:45/2025-12-31 14:45
Manifestation Type Replica
Processing Degree Primary
Retention Period 2023-11-16 14:45/2024-12-31 14:45
Size 3.2 MB
SoBigData Node SoBigData IT
SoBigData Node SoBigData EU
Sublicense rights No
Territory of use World Wide
Thematic Cluster Social Network Analysis [SNA]
system:type Dataset
Management Info
Field Value
Author D'ANGELO ANDREA
Maintainer D'ANGELO ANDREA
Version 1
Last Updated 9 December 2023, 11:26 (CET)
Created 25 November 2023, 13:24 (CET)