Aim of the Deliverable Requirement elicitation: To systematically identify and understand the goals, challenges and needs of potential users and stakeholders. FAIR analysis: To analyse the digital objects referenced in the user stories with respect to their FAIRification status and to extract representative variables from these digital objects Solution paths: To derive solution approaches from the identified requirements, forming the basis for the development of an action plan Methodology User story driven requirement elicitation Systematic description of case studies, user stories and digital object analysis, represented and stored as RDF knowledge graphs. Qualitative assessment and gap analysis with FAIR Implementation Profiles, on which the quantitative FAIR assessment with FAIROS will build on Extraction of variables from the digital objects for future semantic modelling with I-Adopt service Major Findings, Results, and Recommendations The case studies exhibit highly specific requirements as they address different levels of information processing and knowledge production. User-story centric approach to requirements elicitation proved effective in capturing these community-specific needs. Limitations The deliverable provides an initial overview of case study requirements based on their current status. Further, more detailed analysis will be required in the second project year. Conclusion of the Deliverable Prior to the requirements elicitation process, case study providers were trained in FAIR awareness and the creation of FAIR Implementation Profiles. This preparatory step significantly improved mutual understanding and facilitated more effective interactions throughout the requirements elicitation process. This capacity building will also be beneficial for the long-term implementation of FAIR practices within the case study communities.