Including assessments of both datasets and FAIR enabling services. Whether as service provider or user of European Open Science Cloud services. Including processes to identify valuable data and research outputs and mitigate any associated risks.Īddressing the need to ensure data integrity and access to data.īoth developing and delivering of this to researchers and research support staff, in online and in-person formats.Ĭoncerning the provision of online and in-person advice for researchers and/or support staff who need support with aspects of RDM.

To do with services that enable data management, including scalability and synchronisation of services, collaboration support, and security.Ĭovering the support for depositing and publishing open access data. The capabilities assessed for each level are:Ĭovering the development and maintenance of RDM policy and associated documents and processes that enable its implementation.įocusing on the approach to securing the sustainability of RDM services, including staff investment, technological investment, and cost modelling.Ĭoncerning support for researchers to effectively plan the data component of their research and produce associated data management plan (DMP) documentation. It takes the capabilities originally included in RISE and adds two, covering EOSC participation and support for FAIR data and services.

The rubric indicates whether the different capabilities are recommended when developing RDM services. Based on the RISE framework, this checklist gives an overview of the different capabilities required to develop effective research data management (RDM) support across several different levels.

Rdm business case study