Imagine investing a lot of time in a research project, publishing scientific papers and disseminating its results, only to find out that they are not verifiable or reproducible because the related data is not 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.
About the workshops
The practical workshops are divided into two different editions based on the major disciplinary areas: the life sciences (LS) and science, technology, engineering and mathematics disciplines (STEM) on one side; political and social sciences and the humanities (SSH) on the other side. Each workshop provides in-depth training on the theoretical and practical aspects of research data management, combined with hands-on exercises specifically tailored to the different types of research data. The workshops are a unique opportunity to understand the peculiarities of data in one’s area of expertise, learn how to archive research data on the FAIR repository Data@UNIMI, and practice writing a Data Management Plan (DMP), helping researchers improve their data management skills and be more competitive in seeking research funding.
These workshops are reserved to PhDs and early-career researchers, are held only in-person and each one is held in two editions: an English edition in spring, and an Italian edition in autumn. Each workshop will last approximately four hours and a half.
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: