Data Set Title: “PLOTINA: WP2: Gender Assessment, Gender Equality Plans (GEPs) design and lessons learnt: Task2.5: Quantitative Gender Audit (GA) Data: University of Bologna (IT)”
Data Set Creators: Gallina Toschi, Tullia (University of Bologna)
Data Set Contributors: Siboni, Benedetta;  Sangiorgi, Daniela;  Balzano, Angela; Crivellaro, Francesca (University of Bologna)
Data Set Licence: this data set is distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ 
Publication Year: 2017
Project Info: PLOTINA (Promoting Gender Balance and Inclusion in Research, Innovation and Training), funded by European Union, Horizon 2020 Programme. Grant Agreement num. 666008; www.plotina.eu.
Data set Contents: The Quantitative Gender Audit dataset contains data mostly collected through the Data Warehouse of the University of Bologna, as well as data generated through manual collection and surveys on gender issues. The Gender Audit was the first audit regarding gender equality conducted in the University of Bologna, thanks to the PLOTINA Project. 
The data set consists of:
•	a compressed folder named “Dataset_PLOTINA_WP2_T2_5_QuantitativeGA.zip” containing: 
o	5 tabular files saved in .cvs format with “;” separator:
“PLOTINA_UNIBO_Dataset_QuantiGA_KEYAREA1_170511.csv”
“PLOTINA_UNIBO_Dataset_QuantiGA_KEYAREA2_170511.csv”
“PLOTINA_UNIBO_Dataset_QuantiGA_KEYAREA3_170511.csv”
“PLOTINA_UNIBO_Dataset_QuantiGA_KEYAREA4_170511.csv”
“PLOTINA_UNIBO_Dataset_QuantiGA_KEYAREA5_170511.csv”
o	1 tabular file saved in .xlsx format containing the whole data, named “PLOTINA_UNIBO_Dataset_QuantiGA_170511.xlsx” 
•	a README file “README_PLOTINA_WP2_T2_5_QuantitativeGAdataset.rtf”
Data set Documentation
As regarding the data, they are collected through 20 tables, that showed absolute values as well as percentages, and they are saved in a tabular format. For each collected and generated data, the dataset contain a specific protocol which explain how the data are collected and reported (i.e. the period of reference, the degree level, etc.).
Key areas:
•	KA1: the governance bodies, key actors and decision-makers: 3 tables showing the gender composition of the governing and decision-making bodies and the presence and the gender composition of gender equality structures at UNIBO. The data collected were manually collected by the UNIBO gender audit team through institutional UNIBO reports and the website.
•	KA2: recruitment, career progression and retention: 9 tables. Tables 1 to 3 provide the figures as to the gender composition of students at UNIBO (academic year 2015-166; undergraduate, master’s and Ph.D level; Data Warehouse). Tables from 4 to 9 provide the figures as to: a) the career selection and recruitment of academics in 2015 by gender; b) the last selection process carried out from 7 UNIBO Department (Education Studies «Giovanni Maria Bertin», Classical Philology and Italian Studies, Economics, Physics and Astronomy, Industrial Engineering, Agricultural and Food Sciences, Medical and Surgical Sciences); c) the carrier progression of a group of academics of UNIBO from 2005 to 2015 dived by gender and grade; d) the number of staff by age scale and gender in 2015; e) the presence of programmers that the RPO has to help/facilitate the career progression of women; f) table 9 provides data on gender pay gap for UNIBO academics divided by gender and grade. 
•	KA3: work and personal life integration: 4 table providing information about the measures to keep the link with people on parental leave and to promote joint responsibility in care at UNIBO. The data source were manual and digital collected by the human research area as well as the programming and support for evaluation area (Data Warehouse) of UNIBO.
•	KA4: researchers and research: gender equality and sex and gender perspective: 3 tables showing: a) gender composition of academic staff in 7 UNIBO departments mentioned above (Data Warehouse); b) gender in research project management, in funding and in scientific publication authored by UNIBO academics; c) gender integration in UNIBO funded research projects
•	KA5: integration of sex and gender dimension in teaching curricula: 1 table providing information about the degree to which gender/sex dimension is integrated into the teaching curricula in the 7 departments of UNIBO (mentioned above). The data were collected through: a content analysis developed in the titles of all the UNIBO courses taught in A.Y. 2015/16; a survey submitted to the sample of 7 Departments.
Methodology
The data concerning all the 5 key areas were collected/generated, saved and later transferred to the tool for Quantitative Checklist excel file by the UNIBO Gender Audit Team. In case of survey each respondents has signed an informed consent and a privacy policy sheet.
•	KA1: the data were manually collected by the UNIBO gender audit team through institutional UNIBO reports and the UNIBO web site.
•	KA2: a first part of data were generated from the Data Warehouse of the University of Bologna. Also, a second part of data were manual and digital collected by the human research area as well as the programming and support for evaluation area of UNIBO from internal dataset.
•	KA3: the data were manual and digital collected by the human research area from internal dataset as well as the programming and support for evaluation area (thought the Data Warehouse) of UNIBO.
•	KA4: a first part of data were generated from the Data Warehouse of the University of Bologna. A second part of data were manual and digital collected mostly by the research and third mission division of UNIBO from internal dataset. Also, an analysis has been developed in scientific publication authored by UNIBO academics. Finally, a survey submitted by email to all the scientific coordinator of funded research project.
•	KA5: the data were collected through a content analysis manually undertaken on the titles of all the UNIBO courses taught in A.Y. 2015/16 by searching specific gender key words.