Research data management
The University endorses Open Research Data principles and actions as a prerequisite for reproducibility and open access to science findings. The University of Milan acknowledges the importance of data management for scientific research quality and integrity, and adopts the highest standards for data collection, storage and preservation.
The Data Management Policy formalises our full adherence to Open Research Data, establishes the responsibilities, rights and duties of the University and of its researchers, proposes a Data Management Plan (DMP) model for data collection, documentation, storage, access, use and preservation (or destruction).
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For support in compiling a Data Management Plan [email protected]
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.
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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 content of a high-quality DMP and discussing how it can be used actively throughout a research project.
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