Other Open Access
Taco de Bruin; Sarah Coombs; Jutta de Jong; Irene Haslinger; Henk van den Hoogen; Frans Huigen; Mijke Jetten; Jacko Koster; Margriet Miedema; Sjef Öllers; Inge Slouwerhof; Ingeborg Verheul; Jacquelijn Ringersma
The 15 FAIR data principles are intended to be applied to a dataset, but the acronym FAIR is also used as an adjective for other (digital) matters, such as FAIR data stewardship, FAIR data infrastructure and FAIR data services. Moreover, in the context of Open Science and scientific integrity, more and more Dutch universities and research organizations discuss a FAIR organization as an important goal, thus implementing RDM practices and support with the FAIR principles as a main driver.
Triggered by this use of the acronym FAIR for organizations, an LCRDM (National Coordination Point Research Data Management) task group explored the definition, characteristics and principles of a so-called ‘FAIR enabling organization’. The task group delivered two products: (1) a definition for a FAIR enabling organization and (2) a self-assessment tool to evaluate the FAIR-ness of a research organization (research institute, university or university of applied sciences).
This self-assessment tool is a simple instrument, presented in an editable PDF form. By answering the questions and evaluating the level (beginner, intermediate, or advanced) at which you assess the performance of your organization, you will be able to define the actual FAIR-ness. In addition you can define a Road Map to become a FAIR Enabling Research Organization using the information in de more advances level(s).
|All versions||This version|
|Data volume||3.8 GB||3.8 GB|