The General Principles of Open Science
- research
Held in English
Module 1 and 2 in presence Module 3, 4, 5, 6, 7, 8 online - Zoom platform
To take part, you must register for each individual module.
This series of seminars addresses the fundamental themes underpinning the open science movement, which cut across various disciplinary fields and serve as a reference point for further sector-specific exploration. Taken together, the topics covered define a specific approach to scientific research that it is advisable to be familiar with at the outset of one’s studies, before embarking on the theoretical and experimental stages; for this reason, all the seminars, delivered in English, are offered throughout the three-year degree programme.
Tuesday 15 December 2026
In presence, School of Innovation – via Tommaso Gar 16/2 (CLAB M)
Module 1 – A more Open Science: visibility, impact and sustainability of research
14:30 - 15:30
Registration before the 30th of November – 12.00 a.m.
Speaker: Carlo Miniussi (Department of Psycology and Cognitive Science)
An introduction to the principles and practices of Open Science, presented as tools for promoting the reliability, transparency and credibility of research - How articles, data and code can become shareable, reusable and citable research outputs, contributing to the visibility, impact and sustainability of scientific work - An exploration of the opportunities offered by a more open and collaborative of the opportunities offered by a more open and collaborative research culture for the career development of researchers.
Module 2 – Cultural Foundations of Open Science
15:45 - 17:45
Registration required
Registration before the 30th of November – 12.00 a.m.
Speaker: Giorgia Bincoletto (Faculty of Law)
The theoretical and ethical foundations of the Open Science movement within the context of universities’ growing commitment to the Third Mission - A brief history of the Open Science movement - Intellectual property and Open Science - The dimensions of Open Science: from declarations to legislation - Challenges in the world of university research. of university research
Tuesday 9 January 2027
Online
Module 3 – Open Access
14:30 - 16:30
Registration before the 30th of November – 12.00 a.m.
Speakers:
Fabio Serafini (Scientific Publications Office)
Francesca Valentini (Research Output Office)
Open Access to publications - The different types of Open Access - Versions of material available via Open Access - Copyright law, Creative Commons licenses and UniTrento’s publishing licence - Obligations under European research projects.
Thursday 21 January 2027
Online
Module 4 – Open Access Publishing: The Diamond model and the Gold model
14:30 - 16:30.
Registration before the 30th of November – 12.00 a.m.
Speakers:
Fabio Serafini (Scientific Publications Office)
Francesca Valentini (Research Output Office)
Diamond Open Access - The Trento University Press (UniTrento UP) - Procedures and workflow on the OJS platform – Indexing in DOAJ: significance and scope - The OMP platform - Other resources - Gold Open Access- Transformative agreements.
Tuesday 26 January 2027
Online
Module 5 – Open Access dissemination: the Green model and IRIS
14:30 - 16:30
Registration before the 30th of November – 12.00 a.m.
Speakers:
Stefano Mattedi, Katia Piccoli, Francesca Valentini (Research Output Office)
The functions of the IRIS institutional repository - Specific issues relating to the standard submission of a doctoral thesis (e.g. step 4; compilation of previously published texts; choice of images; CC licences for materials already licensed) - Specific issues relating to the standard submission of a published work. Prior to the session, participants are expected to undertake self-study.
Prior to the session, participants are expected to undertake self-study, via video lessons, on the following topics:
- the procedure for uploading doctoral theses to the IRIS institutional repository;
- the procedure for submitting publications, including open-access ones, to IRIS.
Thursday 28 January 2027
Online
Module 6 – The Data Management Plan
14:30 - 16:30
Registration before the 30th of November – 12.00 a.m.
Speaker:
Vincenzo Maltese (Dissemination and Evaluation of Research Outputs Division)
Scientific research and its results - The stages of research data management - Regulatory aspects to consider (privacy, intellectual property, open data) - University guidelines - Horizon Europe requirements regarding data and other research outputs. The role of the data steward in supporting researchers - The FAIR principles, or how to make data and other research outputs findable, or how to make data and other research outputs findable, accessible, interoperable and reusable - The Data Management Plan (DMP) and the University’s template - Support units within the University.
The session takes a practical approach to the responsible management of data and other research outputs, with a particular focus on the FAIR principles and the Data Management Plan. Management Plan.
Tuesday 2 February 2027
Online
Module 7 - Data Provenance
14:30 - 16:30
Registration before the 30th of November – 12.00 a.m.
Speaker:
Sandro Luigi Fiore (Department of Information Engineering and Computer Science)
Data provenance and its key role within the context of Open Science in promoting transparency, reproducibility and trust in the results of scientific research - The methodological aspects relating to traceability in scientific processes (for example, in the training of AI models), highlighting how provenance is a fundamental element in the application of the FAIR fundamental element in the application of the FAIR principles to research data and results.
Thursday 4 February 2027
Online
Module 8 - Data Provenance in Action
14:30 - 16:30
Registration before the 30th of November – 12.00 a.m.
Speaker:
Sandro Luigi Fiore (Department of Information Engineering and Computer Science)
The acquisition of practical skills in managing data provenance in scientific research contexts - Experimenting, through the yProv ecosystem, with the collection, management, analysis and visualisation of provenance across various scientific domains, with applications to experiments of various kinds (e.g. training AI models) and an understanding of its role in process traceability, the reproducibility of experiments in process traceability, the reproducibility of experiments and the application of FAIR principles. As part of the module’s project work, students will be able to develop a case study on traceability directly linked to their own research, applying the methodologies and tools for data provenance management learnt during the course.
Please note:
For the purposes of certifying your participation in the training programme:
You are required to keep your camera switched on during online sessions.
Participation by the University’s technical and administrative staff (PTA) will be certified by the Secretariat of the Directorate for Research and Commercialisation Services, in collaboration with the Training Office, and the hours will be automatically credited to the individual participant’s training record, provided that at least 70 per cent of each session has been attended.
The participation of UniTrento PhD students will be communicated directly by the Research and Commercialisation Services Department to the secretariats of the individual PhD programmes in the days following the final session of the course (i.e. immediately after 4 February 2027).
Notes:
In order to receive certification for the course, you are required to keep your camera switched on during online sessions.Participation by the University’s technical and administrative staff (PTA) will be certified by the Secretariat of the Directorate for Research and Commercialisation Services, in collaboration with the Training Office, and the hours will be automatically credited to the individual participant’s training record, provided that at least 70 per cent of each session has been attended.
The participation of UniTrento PhD students will be communicated directly by the Research and Commercialisation Services Directorate to the secretariats of the individual PhD programmes at the end of the series of sessions.