
It is widely accepted that the FAIR data principles highlight the importance of metadata. The Data Documentation Initiative (DDI) community has decades of experience in supporting data production and reuse within the social, behavioural, and economic sciences through the publication and use of detailed, machine-actionable metadata specifications. This webinar explores the lessons that have been learned over that time, and how these lessons can be applied more broadly in the context of FAIR data sharing.