The Quantitative Audit Checklist is an Excel tool (downloadable below) you will use to collect all the quantitative data for the participatory audit procedure.
The document is divided in 8 different TABS. This is the main structure of the document:
QUANTITATIVE CHECKLIST
GENERAL INFORMATION ABOUT THE INSTITUTION
KA 1: The governance bodies, key actors and decision-makers
1.1. Governing and decision-making bodies
1.2. Gender equality structures in the institution
KA 2: Recruitment, career progression and retention
2.1. Student data
2.2. Selection and recruitment
2.3. Career progression
2.4. Gender pay gap
KA 3: Work and personal life integration
3.1. Data on Caring-responsabilities of the RPO’s academic staff
3.2. Work and personal life integration policies in the institution
3.3. Measures to keep the link with people on parental leave and to promote joint responsibility in care
KA 4: Researchers and research: gender equality and sex and gender perspective
4.1. Academic and research staff data
4.2. Gender perspective in research project management
4.3. The integration of the gender dimension in Research
KA 5: Integration of sex and gender dimension in teaching curricula
5.1. Gender-mainstreaming in teaching curricula
Inside each of these areas, you will find a set of charts which are numbered in reference to the area and topic they will help us analyze. (This is the way charts have been referenced: KEY_AREA_NUMBER.TOPIC_NUMBER.NUMBER_OF_CHART)
Each chart also has a set of notes referenced with the number of the chart that it corresponds to. This notes, will help you understand the information that is required in each of the charts, and the way each of them should be filled-in. Please, read the notes before filling-in any information.
Which data should my RPO gather? We propose to gather data from the previous Academic Year XXXX_YY, and data at 31st december XXXX (of the previous year) in cases regarding academic staff, as those numbers could vary along the year. In any case, it should be specified if the RPO has gathered data from another year for any reasons. Along the document we have specified the relevant years data should be collected from, XXXX being 2015 in the case of Plotina RPOs and AY XXXX_YY being 2015-16.
This is a flexible document, that will have to be adapted to the reality of each of the RPOs, regarding structure and specific terminology.