The use of large datasets and databases has helped advance our understanding of ecophysiological processes and will be critical for improving our predictions of forest responses to climate change. However, there are many challenges both for generating and using these datasets, and there is great potential for improvement. Utilization of these datasets could be beneficial for a wide variety of forest scientists, including those working in detailed field-based research to those investigating large-scale forest ecosystem modelling. However, it is important to know the limitations of these datasets and how can we improve them. This workshop will help participants learn to bridge large datasets with field measurements in forest ecophysiological studies, with consideration of the datasets available, their potential uses, and their current shortcomings, as well as discussing best practices for data contribution. The workshop is designed to be interactive and will include four short talks and panel/audience discussion. First, four panelists representing a wide range of knowledge and expertise will be given 8-10 minutes to discuss their insights into frontiers in forest ecophysiology and how working with large datasets may lead to transformative research. Then, the workshop will open for general discussion (35 minutes) in which we seek the participation of all attendees, especially students and early career scientists.