
Presentation by Dr Samantha Pearman-Kanza for the PSDI Project at Future Labs Live Basel. Abstract: FAIR Data should have relevant metadata, instructions, and information that enables others to re-use, replicate, reproduce and repurpose as appropriate. However, this is nowhere near as simple as it sounds. What are the optimum schemas to use? How do we identify the domain level metadata that is required? What of this metadata can be extracted easily and automatically, and what requires a much higher level of intelligence? Join me to venture down the rabbit hole of metadata identification and extraction in an endless quest to make the FAIRest metadata in the land.
FAIR data, data, metadata, research data management, data management, Data science
FAIR data, data, metadata, research data management, data management, Data science
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