Narlock, Mikala R.2024-05-042024-05-042024https://hdl.handle.net/11299/263034Data sharing has long been viewed as essential for open scholarship, as a bulwark against misinformation and poor scientific practice. Increasingly, data sharing is becoming mandated, by funding agencies and publishers, leading to an increase in data sharing via generalist, institutional, and disciplinary repositories. In this deluge of data, and in a world of AI and Machine Learning, it is imperative that researchers and academic communities move beyond data sharing to data publication in trusted data repositories to enable future (re)use. Mikala Narlock, Director of the Data Curation Network, will provide a short overview of the current state of data sharing, highlighting the importance of data curation and opportunities for re-curation, and end with a call to action for individuals and communities.enPresentation