This deliverable was produced as part of the SSHOC-NL Project, a collaboration between ODISSEI (Open Data Infrastructure for Social Science and Economic Innovations) and CLARIAH (Common Lab Research Infrastructure for the Arts and Humanities) that develops state of the art infrastructure for social science and humanities research. Within this project, Task 4.2 focuses on Integrang microservices to increase data FAIRness. The deliverable takes a closer look at the Croissant metadata export available in the ODISSEI Portal. Croissant is a metadata format that builds on the schema.org/Dataset vocabulary and is made specifically to support Machine Learning applications. Croissant was added to the export options of the Dataverse software in 2024 (version 6.4) amongst others by Slava Tykhonov who worked on Croissant in the SSHOC-NL project (Tykhonov & Durbin, 2024). Since the ODISSEI Portal makes use of Dataverse software, the Croissant metadata export is an available feature. This deliverable aims to look closer at this export to discuss usability of the Croissant metadata in its current form. We assessed the Croissant export by comparing it to other metadata outputs currently available in the Portal like Schema.org JSON-LD and DDI Codebook. The deliverable finishes with a set of recommendations for future developments.