Data sharing

Another way of adhering to the principles of Open Science consists in making metadata public and in making the data themselves “as open as possible, as closed as necessary” to favor the reproducibility and replicability of the processes.
When publishing data it is important to follow the FAIR data principle:

• Findable: the data must be traceable and therefore associated with persistent identifiers (e.g. DOI, handle, etc.), described by metadata, archived in dedicated repositories
• Accessible: published in a repository and accompanied by metadata; it is not mandatory to make the data open (the principle is “as open as possible, as closed as necessary“), while the publication of metadata is recommended
• Interoperable: interoperability between open systems must be guaranteed, therefore data must be archived according to formats that can be interpreted by machines and connected where possible to the reference ontologies
• Reusable: the reuse of data allows the circulation and advancement of research. It must always be clear how data can be reused: standardised licences for use are therefore recommended (e.g. Creative Commons)

It is important that the data are stored in a Data Repository and that all actions performed on the data are described in a Data Management Plan.

Dataverse is the data repository of the University of Milan

RDM allows affiliates of the University of Milan to manage the DataManagement Plan