Practical Workshops on Research Data Management

Imagine investing a lot of time in developing a research project, finally publishing an academic article, and then receiving a retraction notice from the journal: your article has been retracted because the research data used in your publication was not reproducible and/or accessible. This is a typical example of what can happen when the research process fails to consider the FAIR principles. Knowing what these principles are and how to best implement them in your research is the key to successful research data management. In these research data management pratical workshops, UNIMI’s data stewards will guide you through the theory and practice of a successful research process, from the organization of research data to the dissemination of research results.

FLYER

About the workshops

UNIMI offers two pratical workshops on research data management: one for the life sciences (LS) and the science, technology, engineering and mathematics (STEM) disciplines, and one for the social and human sciences (SSH). Each workshop provides in-depth training on the theoretical and practical aspects of research data management, combined with hand-on exercises specifically tailored to the different types of research data used in STEM, LS and SSH disciplines. Whilst FAIR principles apply to all types of research data, the steps towards successful research data management can vary depending on the specific cases. For this reason, the workshops are also a unique opportunity for PhDs and early-career researchers to learn how to archive their data on the FAIR research data repository Data@Unimi and practice writing a Data Management Plan (DMP), helping researchers to improve their data management skills and apply for research funding: in fact, both these practices are increasingly required by journal editors and research funders such as the European Commission.

The workshops will adress questions such as:

• What is open science and in what ways do its principles enhance research integrity, public access to research results and good science more broadly?
• How can different types of research data be understood and managed?
• What is a research data repository, and how can you upload, archive and share your research data with other researchers?
• How can the loss of research data be prevented?
• What steps need to be followed if funders or editors of a research project demand publication of research data on an open access repository?
• What constitutes a well-written DMP?
• What are creative common licences and how can they be applied to researchers’ specific needs?
• What happens if someone publishes or steals your research results? Are you able to prove when the data was generated and that you did it?
• How can sensible and personal data be protected to guarantee research ethics?
• Have you ever read an interesting publication wondering if you could have access to the original data because it might be useful for your work?
• How can research data be anonymized?
• Why are open formats desirable to propietary formats?

To register to the workshops, please fill-in the registration forms below. Participation is guaranteed on a first-come first-serve basis, until the maximum number of participants is reached.

For any doubts or queries on the workshops, you can contact us at rdm@unimi.it