Storing and sharing image data is important for ensuring findings can be reproduced and valuable data can be reused. However, doing so is challenging owing to the size of the data (microscopy datasets are often 100s of GB to 1 TB in size). The objective of this project was to communicate current best practices for producing and sharing open image data. We collaborated with the broader bioimage analysis community to share the current state of the OME-NGFF, the emerging FAIR image data format. Additionally, we produced an open handbook and workshops describing current best practices for performing reproducible image analysis. To share the best practices with the ETH and broader community, we presented the workshop to ETH and University of Zurich students and at an international conference. All resulting material from this project has been shared openly and can be reused by the community. This project has helped communicate the current best practices for open data in of the rapidly evolving field of imaging and build the community required to continue to improve and share open image data standards.