Learn about FAIR DATA
FAIR principles are internationally shared standards for managing research data, in accordance with the requirements of institutions and funders, geared at making research outputs available for open access.
Create your Data Management Plan
A Data Management Plan (DMP) is a structured document that describes the multiple steps necessary for producing, analyzing, preserving and sharing the data generated in a research project.
Share your data on Data@UNIMI
Data@UNIMI is UNIMI’s research data repository, built on the open-source software Dataverse, and certified with the CoreTrustSeal, which guarantees the trustworthiness of the repository itself and that data is FAIRly managed.
About us

Support& Trainings Trainings

To help you better manage and share your data according to FAIR principles, we provide a wide range of activities that you can discover by browsing the links below

Boost your skills

Boost your Skills

FAIR data management and openness of research data can not only bring significant benefits to researchers themselves and to the entire community, but are also amongst the main requirements of funders and scientific journals, and National Research Evaluation Agencies as well, on the basis of the commitments defined by the Coalition for Advancing Research Assessment, are requesting researchers to include datasets among research outputs for evaluation purposes, therefore here on the right are some useful resources to help you

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FindOutMoreAboutOurActivities AboutOurActivities AboutOurActivities

Stay up to date on our activities, events we will attend, or opportunities to discuss research data management that we recommend

RDM for PhD in Earth Sciences

Today our data stewards took part in the training offer of Data Analysis, Management and Modeling for Earth Sciences of the PhD School in Earth Sciences with a seminar dedicated to open science and FAIR research data management. A wonderful occasion to discuss these topics with PhD students.

Brochure and more info here: https://sites.unimi.it/phdearthsciences/training-offer/

RDM
RDM for PhD in Earth Sciences

Today our data stewards took part in the training offer of Data Analysis, Management and Modeling for Earth Sciences of the PhD School in Earth Sciences with a seminar dedicated to open science and FAIR research data management. A wonderful occasion to discuss these topics with PhD students.

Brochure and more info here: https://sites.unimi.it/phdearthsciences/training-offer/

Book your appointment with us!

Having doubts about the use of Dataverse? Not sure about how to structure your DMP? Want more information on the research data management trainings available?

At this link https://rdm.unimi.it/dedicated-support/, you can both find the different e-mails available for contacting us depending on the preferred type of assistance or get in touch with us by booking online support call with us on MS Teams!

Appointments can be booked every Friday between 14 and 15.30, and are open to maximum 9 people a day. Once you have booked your preferred time slot, the data stewards will be back at you via e-mail to communicate the MS Teams link and further information.

RDM
Book your appointment with us!

Having doubts about the use of Dataverse? Not sure about how to structure your DMP? Want more information on the research data management trainings available?

At this link https://rdm.unimi.it/dedicated-support/, you can both find the different e-mails available for contacting us depending on the preferred type of assistance or get in touch with us by booking online support call with us on MS Teams!

Appointments can be booked every Friday between 14 and 15.30, and are open to maximum 9 people a day. Once you have booked your preferred time slot, the data stewards will be back at you via e-mail to communicate the MS Teams link and further information.

Publication of the RDM checklist

UNIMI's data stewards are delighted to announce the publication of the RDM checklist on Zenodo to support researchers and the academic community in the proper management of research data. It highlights 19 steps for effectively planning, collecting, analysing, preserving and sharing research data; also providing useful insights, best practices and resources.

Check it out here: https://doi.org/10.5281/zenodo.15465239

RDM
Publication of the RDM checklist

UNIMI's data stewards are delighted to announce the publication of the RDM checklist on Zenodo to support researchers and the academic community in the proper management of research data. It highlights 19 steps for effectively planning, collecting, analysing, preserving and sharing research data; also providing useful insights, best practices and resources.

Check it out here: https://doi.org/10.5281/zenodo.15465239