In recent years, the FAIR principles have become the standard for research data and are now at the core of policies from universities, funders and publishers: European Commission, as well as other sponsors, requires funding beneficiaries to make the resulting research findings available for open access.
Therefore, managing at its best your research data is core of the research process, from the organization of research to the data collection, from the data elaboration to the dissemination of results: for this reason, FAIR data principles and transparent research data management skills are becoming increasingly significant. At the final steps of the research data lifecycle, depositing and sharing research data on trustworthy digital repositories is becoming more and more important not only to meet the funders and journals’ requirements, but also to increase the impact of your research outputs, enhancing aspects such as transparency, interoperability and reusability. Thus, think about the following issues:
- Openness and transparency are closely linked to the scientific method: but have you ever wondered how open can and should research be?
- Have you recently submitted an article and been asked to indicate a DOI for your research data?
- Are the funders of your research project demanding that you publish your research data on an open access repository?
- Are you having trouble understanding how open access applies to research data, and not just to publications?
- 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?
- What happens if someone publishes or steals your results? Are you able to prove when the data was generated and that you did it?
Find the answers to these existential questions and boost your ability of disseminating your research results by sharing your research data on UNIMI’s certified FAIR data repository Data@UNIMI, built on the Dataverse open-source software, by enrolling in our online training courses:
Use of the FAIR research data repository Dataverse (Data@UNIMI)
This webinar provides a general, discipline-independent introduction to FAIR research data management with a special focus on questions related to the practical management, the publication and sharing of open data on the university’s FAIR compliant research data repository, Data@UNIMI, built on the Dataverse open-source software and certified by the CoreTrustSeal. For more information on the repository, see the section dedicated to the use of Data@UNIMI and the specific guidelines.
Format:
- The webinar is held monthly: it takes place each last Friday of the month (some dates may change subject to festivities). Next editions will be: February 28, March 28, April 16, May 30
- The seminar will start at 09.30 am and it will last about one hour plus a 15-minute session of questions and answers.
- It will be held exclusively online, via MS Teams: those interested in attending are required to fill in the below Form to register. Once registration is closed, two days before the webinar date, you will receive the MS Teams link via e-mail. If you are unable to attend, please let us know and enroll in another edition.
- Languages available: Italian – English.
- Please, do take note that if the minimum number of participants for this course (3 people) is not reached, you will be notified and your registration will be taken into account for the edition of the following month.
Contents:
- Research data management & FAIR principles
- Selecting the right trustworthy research data repository for your data
- The software Dataverse
- Data@UNIMI: opening an account and how to use it in practice
- Metadata & Persistent Identifiers
- Creative Commons licenses
Target audience:
PhD, Post-Doc, researchers, and Faculty
Prerequisite:
none
Use of the FAIR research data repository Dataverse (Data@UNIMI): advanced features
The webinar addresses the advanced and technical features of Data@UNIMI, including the structure and customization of one’s personal workspace, data sharing with a private URL, the management of the terms of use, the monitoring of access, an explanation of the different file formats for research data and how to manage them. To better understand the contents of the webinar, we strongly recommend registering after having attended the introductory training on Dataverse (here on the left).
Format:
- The advanced webinar is held bimonthly: it takes place on the third Friday of the month every two months. Next editions will be: March 21, May 23
- The seminar will start at 09.30 am and it will last about one hour plus a 15-minute session of questions and answers.
- It will be held exclusively online, via Microsoft Teams: those interested in attending are required to fill in the below Form to register. Once registration is closed, two days before the webinar date, you will receive the MS Teams link via e-mail. If you are unable to attend, please let us know and enroll in another edition.
- Languages available: Italian – English.
- Please, do take note that if the minimum number of participants for this course (3 people) is not reached, you will be notified and your registration will be taken into account for the edition of the following month.
Contents:
- Customization of your dataverse collection
- Terms of access to your datasets
- Terms of use of your datasets
- Ways of sharing unpublished datasets
- Introduction on open formats
- A focus on tabular files
Target audience:
Researchers, Post-doc, PhD students, and Faculty (preferably, who have already attended the beginners Data@UNIMI webinar)
Prerequisite:
none
Registration Form Data@UNIMI beginners
Registration Form Data@UNIMI advanced
For any doubts or queries on the trainings, you can contact us at rdm@unimi.it. You can also check how to partecipate in our practical and disciplinary-specific workshops on RDM for SSH, STEM and LS disciplines.