What Fellows Work On

Fellows bring their own use cases, practical challenges they face in implementing FAIR principles in their daily work. These use cases span the full spectrum of LSH research, from genomics and rare diseases to bioimaging and clinical data. Our current cohort is working on challenges such as:

• Building digital genomics databanks as foundations for multi-omics platforms
• Transforming research projects into FAIR Data Points aligned with national frameworks
• Implementing ISA metadata schemas for genomic assays and experimental data
• Automating rare disease data extraction and mapping to standardized ontologies
• Using AI tools to reduce metadata annotation burden while improving data quality
• Creating mapping frameworks for electronic health records and cohort data
• Addressing ethical and legal considerations in data sharing

Through their projects, fellows gain specialized expertise relevant to their personal development and their organization's needs. Importantly, they also contribute to nationally relevant solutions that increase the collective capacity available to tackle FAIR implementation challenges across the LSH domain.

Fellows commit to actively disseminating their knowledge during and after the fellowship period, multiplying the programme's impact throughout their organizations and the broader research community.