Research Management Skills
In collaboration with the University Library of the Milan campus. The meetings will focus on: research methodology, bibliography management, copyright and intellectual property.
In advance of what was envisaged at ministerial level and in application of a simple Recommendation to the European Commission's research address, since 2012 the Library of the Catholic University of Milan has been offering an innovative training course, dedicated to doctoral students, on the tools and methods to conduct research efficiently and effectively.
The course in Research Process Management offers a concrete answer: "Am I on the right track and do I have the right tools for my research work?"
The reform of the system of scientific qualifications impacts researchers with respect to the evaluation bodies. This must also be translated into terms of capacity and awareness of the tools to be used for research in the networked world.
Objectives
- Teach how to identify the most relevant sources;
- Systematically manage bibliographies and citation styles;
- Use the most advanced information resources and tools, aimed at citation analysis;
- Approach resources in compliance with copyright rules.
Dr Luca Giorgi
The intervention is aimed at supporting PhD students in understanding the principles, regulations and practices governing the management and protection of personal data, with particular reference to the General Data Protection Regulation (Regulation (EU) 2016/679 so-called GDPR).
The lessons introduce fundamental concepts of privacy, including individual rights, the responsibilities of organizations and the implications, including ethical implications, related to the collection and use of personal data.
Tools and technologies used to ensure compliance with regulations - internal and external - by the University as well as the security of data and information are explored. The procedural processes for the design and approval of research initiatives will be exemplified in order to illustrate the ways in which the University ensures compliance with the principles of the GDPR (e.g. privacy by design and by default).
The intervention is divided into 2 meetings in which case studies, simulations and practical exercises will be presented to provide PhD students with practical skills useful for managing privacy in activities at the University and in daily life.
Objectives
The lessons aim to introduce the fundamental aspects of the legislation for the benefit of students/researchers engaged in the implementation of projects within which personal data processing is carried out.
Concrete examples of the regulatory principles are presented, as well as methods, tools and procedures used in the University, in order to disseminate and consolidate knowledge and awareness on data protection.
Structure and timetable
The protection of personal data
21 July from 9.30 am to 12.30 pm
- GDPR, basics
- Italian legislation on the processing of personal data
Tools and technologies applied for privacy compliance
22 July from 9.30 am to 12.30 pm
- Operating procedures regarding the protection of personal data in research activities
- Risks and mitigation/protection tools to implement, importance of cybersecurity
The course is structured in two modules:
Prof. Diego Zappa - (introductory module)
The meetings spread over 4 days will generally have both a theoretical and practical component:
- 12 January from 14.00 to 17.00 - Introduction to statistics: tables, graphs, position, dispersion, shape indices;
- 15 January from 9.00 to 12.00 - Introduction to dependency measures: analysis of variance, correlation, regression models
- 19 January from 14.00 to 17.00 - Data collection as evidence of a random event: introduction to random variables
- 22 January from 9.00 to 12.00 - For the applications, the use of Excel© will be proposed.
Participants must bring their own laptop for classroom exercises and have a Microsoft Office 365 license.
Notes
The course is designed for those with limited or no knowledge of analytical tools for data analysis. Those who have received courses with statistical content during their university education or already have them scheduled in their doctoral study plan, are advised to review what they have already studied or to wait for the relevant course to take place. However, it is suggested that they check whether the topics covered in the advanced module may be of interest.
Prof. Gabriele Cantaluppi - (advanced module)
The meetings spread over 4 days, in presence, will generally have both a theoretical and practical component:
- 26 January from 9.00 to 12.00 - Univariate and Bivariate Statistical Analysis with Radiant
- 27 January from 14.00 to 17.00 - Basic elements of programming with R. Introduction to textual analysis: frequency distributions of single terms, bigrams and trigrams; Examples of text analysis
- 2 February from 9.00 to 12.00 - Corpus and document term matrices
- 5 February from 9.00 to 12.00 - Sentiment analysis
Participants must bring their own laptop for classroom exercises and have a Microsoft Office 365 license.
Notes
The course is designed for those who do not have a knowledge of the R language and have a limited knowledge of methodological and analytical tools regarding the topics covered.
