Interoperability in physical model testing

The funders of research programmes, such as Horizon 2020 are increasingly requiring that the resulting publications and data are made openly available. The EC, for example, requires FAIR (Findable, Accessible, Interoperable, Reusable) data management. This is promoted through a set of principles and guidelines for experimenters to follow. These respect the technologies and intentions at each organisation, whilst providing positive practices to ensure that the experimental data produced is interoperable and reusable. The recommendations respect the wide variety of data management options for formats and structures; metadata, vocabularies and ontologies; and licenses and embargo periods. Where appropriate, specific technologies have been offered. They do not seek to impose an unrealistic set of rules and regulations which must be followed, rather they offer a set of sensible, modern principles and resources to move the community forwards together and bring it in line with other similar communities currently iterating their own data management practices. They also dovetail with the use of data repositories for the storage of data and papers.