Enhanced dataset search with semantic annotations and NIDM
Over the last three decades, neuroimaging research has seen large strides in the scale, diversity, and complexity of studies, the open availability of data and methodological resources, the quality of instrumentation and multimodal studies, and the number of researchers and consortia. The awareness of rigor and reproducibility has increased with the advent of funding mandates, and with the work done by national and international brain initiatives. This session will focus on the question of FAIRness in neuroimaging research touching on each of the FAIR elements through brief vignettes of ongoing research and challenges faced by the community to enact these principles. This lecture covers the NIDM data format within BIDS to make your datasets more searchable, and how to optimize your dataset searches.
- Background on NIDM-linked data format
- Formalizing data element descriptions in human neuroimaging experiments
- Turning BIDS datasets into Semantic-BIDS datasets with NIDM annotation tools for enhanced query
- Querying NIDM-linked data records with concept-driven queries