  The FAIR Principles are a set of good practices to improve the
reproducibility and quality of data in an Open Science context. Different sets
of indicators have been proposed to evaluate the FAIRness of digital objects,
including datasets that are usually stored in repositories or data portals.
However, indicators like those proposed by the Research Data Alliance are
provided from a high-level perspective that can be interpreted and they are not
always realistic to particular environments like multidisciplinary
repositories. This paper describes FAIR EVA, a new tool developed within the
European Open Science Cloud context that is oriented to particular data
management systems like open repositories, which can be customized to a
specific case in a scalable and automatic environment. It aims to be adaptive
enough to work for different environments, repository software and disciplines,
taking into account the flexibility of the FAIR Principles. As an example, we
present DIGITAL.CSIC repository as the first target of the tool, gathering the
particular needs of a multidisciplinary institution as well as its
institutional repository.
