Exposing repository information to foster connections and trust: evaluating and implementing guidelines.
Maaike Verburg Mike Priddy Hervé L'Hours Robert Huber Robert Ulrich Ingrid Dillo Joy Davidson Charlotte Neidiger Linda Reijnhoudt Gabriela Mejias Parham Ramezani Marita Everhardt Oliver Parkes
The FAIR-IMPACT project (https://fair-impact.eu/) supports the implementation of FAIR-enabling practices, tools, and services. To this end, guidelines (https://fair-impact.eu/transparency-guidelines & https://doi.org/10.5281/zenodo.10058634) and a prototype are being developed to improve the transparency of, and trust in, repositories. These guidelines help to expose relevant information as metadata at the organisational and object level to facilitate discovery, provide context, and support interoperability. The guidelines will also recommend accompanying evidence to create a sense of trust in the services themselves and service providers with focus put on exposing information about characteristics (e.g. contact information), information that can help to inform a sense or status of trustworthiness (e.g. preservation policy), and information relating to FAIRness of the digital objects held. The guidelines, and an implementation prototype, will establish relevance of the resources for stakeholders and it is essential that they are informed by community-input. 

This poster will give insights on the modelling of the complex relations, the guidelines, and prototype, in order to encourage discussions and collect feedback from communities, including digital repositories, service providers, and users, so that we can ensure that the guidelines meet the needs of all stakeholders. 

Whilst certification for research data repositories exists (e.g. CoreTrustSeal) not all digital object services have an external authority assessing and validating the service provided. Therefore, this model will also support the transparent disclosure of self-declared assertions about functions and activities. This structured and interoperable format of information expression supports harvesting and validation by third parties, which reduces administrative overhead, improves interoperability, and benefits the wider research landscape. 

FAIR assessment of digital objects can be undertaken by anyone, however, a clear understanding of the results of an assessment requires further evidence regarding the assessment process. This is particularly important when assessment metrics are selected or adapted for a disciplinary context. The guidelines will therefore include the exposure of assessment characteristics, such as a FAIR assessment authority, the tool, its creators, and the evidence they hold.

A prototype implementing the guidelines will serve as a proof of concept, illustrating the core functionality and purpose of the guidelines, showcasing mapping, reuse, and validating the evidence.
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