With the ever-growing volume of research data being produced, managing this data has become an increasingly important issue. This is illustrated, for example, by the existence and activities of the EOSC (European Open Science Cloud) initiative. In research data management, it is essential that the data comply with the FAIR (Findable, Accessible, Interoperable, Reusable) principles. Storage systems should support these principles and make it easier to achieve them.
Many systems are available for research data management, differing in functionality, complexity, and reliability. Examples include Onedata (onedata.org), iRODS (irods.org), and RUCIO (rucio.cern.ch), among others.
As part of this thesis, the student will introduce these systems and compare their functionality in areas such as supported storage technologies, user interfaces, features, ease of working and documentation, data transfers, and permissions. The systems will then be deployed and their performance tested. Several reproducible test scenarios will be defined, such as reading data from one storage system and sending it to another within the same or geographically distant data centre.