RDM training @ USI

The Research Data Manager organizes training sessions and workshops dedicated to the various aspects concerning Research Data Management (RDM), such as:

• DMP writing and adherence to funders’ requirements;
• application of FAIR principles in data management;
• finding the appropriate long-term data repository;
• documentation and metadata writing;
• protection of personal and sensitive data;
• institutional storage of data and data sharing;
• Data Transfer Agreements (DTAs) and Data Sharing Agreements (DSAs);
• everyday duties in data management

You may find below announcements on future training sessions and contents of past events.

For individual support on Reserch Data Management and Open Research Data, do not hesitate to get in touch with [email protected].

Future RDM training sessions at USI

SNSF Data Management Plan drafting session

May 11th 2026, Università della Svizzera italiana (online)

As a grantee of an SNSF project, PIs are required to submit a Data Management Plan (DMP) in order to access the first installment of project funding, and expected to submit a final version of the document by the end of the project.

During this online training session, dedicated to its preparation, a detailed overview of the DMP submission process and its key components will be provided, and practical examples will be presented. There will also be time for Q&A.

Do not hesitate to get in touch with [email protected] for further information.

Advanced Skills for Research Data Management and Open Sciences in Social Sciences

June 1st-5th 2026, Università della Svizzera italiana (in presence)

The evolving landscape of research, publishing, and career trajectories presents both new opportunities and fresh challenges for those engaged in the social sciences. Increased emphasis on transparency, collaboration, and data-driven insights is redefining how we conduct, communicate, and measure the impact of scholarly work. As such, developing a robust understanding of Research Data Management (RDM) and Open Science (OS) practices has become a critical skillset for early-career researchers. Navigating these shifting demands is key not only for completion of doctoral thesis and publishing success but also for enhancing research productivity and seizing broader career opportunities.

The program's focus on fostering research efficiency and improving your research workflow translates into tangible benefits. You will gain the necessary tools and strategies to effectively manage your data, expedite the publication process, and enhance collaboration opportunities. Ultimately, by understanding how RDM and OS principles contribute to research transparency, reproducibility, and impact, you can strategically utilise these practices to advance your research career and contribute meaningfully to the wider academic community.

Topics that will be covered are:

• introduction to research data management and open science in social sciences
• data management planning
• data collection and active data curation
• data ethics and privacy
• reproducible research and data sharing
• data storage and security

Do not hesitate to get in touch with [email protected] for further information.