Training

Training on the Use of the FAIR research data repository Dataverse (Data@UNIMI)

• 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?

Join our Data@UNIMI training webinar! Learn how to manage your research data according to FAIR principles and boost your ability to share your research data on UNIMI’s trustworthy digital repository, Data@UNIMI, built on the Dataverse software.

Collecting, processing and analysing data are fundamental activities for virtually every researcher: for this reason, FAIR data principles and 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 interoperability and reusability. This training 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 software.  For more information, see the section dedicated to the use of Data@UNIMI.

Format:

• The training seminar takes place each last Friday of the month (some dates may change subject to festivities). Next editions will be: 20 September, 25 October, 29 November.
• 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 and obtain the link. 
• 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
• Trustworthy research data repositories: selecting the right one for your data
• The software Dataverse
• Data@UNIMI: opening an account and learning how to use it in practice
• Metadata & Persistent Identifiers 
• Creative Commons licenses suited for your research data
• Introduction on open formats 

Keywords:

FAIR principles, research data management, metadata, research data repository, digital archive, open data 

Target audience:

PhD, Post-Doc, researchers, and Faculty

Prerequisite:

none

Training on How to write a FAIR compliant Data Management Plan (DMP) 

• Openness and transparency are closely linked to the scientific method: but have you ever wondered how open can and should research be?
• Have you ever lost access to your research data and wondered how to prevent it in the future?
• Are the funders of your research project or of your grant demanding that you produce a detailed Data Management Plan?
• Have you recently started a PhD or a research project and want to skilfully manage your research data?
• Are you unsure about how to anonymize research data?
• Do you want to improve your ability to manage sensitive research data?

Join our Data Management Plan training webinar! Learn how to efficiently manage your research data according to the FAIR principles and boost your ability to write the perfect DMP.

Even though Data Management Plans are increasingly required by institutions and funding agencies (especially the EU commission) they are not merely an administrative task. Writing your DMP as early as possible is a key step for managing your data as it allows to better organize your research project since from its beginning and ensures that you are aware of different responsibilities associated to publishing research data in open access modalities. Furthermore, publishing a completed DMP can enhance the discovery, access, dissemination and reuse of your research data. Thus, a DMP can be a crucial tool to develop research data management skills for each step of the research data lifecycle, from collection to dissemination. This training webinar provides a general, discipline-independent, introduction to FAIR research data management, introducing the key structure and contents of a high-quality DMP and discussing how it can be used actively throughout a research project. For more information, see the section dedicated to DMPs.  

Format:

• The training seminar takes place each first Friday of the month (some dates may change subject to festivities). Next editions will be: 04 October, 08 November, 06 December.
• 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 and obtain the link. 
• 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 
• The importance of a DMP for efficiently managing research data
• Structure & content of a DMP: do’s and don’ts 
• UNIMI’S DMP template & the EU’s requirements for a DMP
• Data anonymization & ethical issues 
• Data quality & security 

Keywords:

FAIR principles, research data management, data quality, research data lifecycle, data management plan, funders’ requirements

Target audience:

Researchers, Post-doc, PhD students, and Faculty

Prerequisite:

none

Registration Form Data@UNIMI

Registration Form DMP