Forests provide vital services—from biodiversity and timber to climate regulation—but they are increasingly threatened by climate change and human pressures. To understand how forests function and adapt, researchers now rely on detailed 3D data collected with modern technologies such as terrestrial laser scanning, mobile and UAV based LiDAR, and photogrammetry. These tools produce highly detailed information, yet the resulting datasets are scattered across research groups, inconsistently documented, and difficult to compare. This lack of accessible, standardized data limits scientific progress, especially for developing new analytical and AI-based methods. To address this challenge, the project is building an open, community driven data portal for 3D forest information that follows FAIR principles. The team has already defined shared metadata standards, developed quality control protocols, and created the main database and web interface in collaboration with EnviDat. A key achievement is the automated upload checking system, which ensures that submitted data matches their metadata and meets quality requirements. Extensive testing has been completed across different forest types and sensor systems, and example datasets are already available on the platform. Over the coming years, hundreds of data sets from a wide range of projects will be added to the database. A detailed upload tutorial supports new users, and outreach to the research community is underway. The remaining work focuses on final documentation, conference presentations, and an open access publication. By making high quality 3D forest data openly available, the project strengthens collaboration, improves reproducibility, and accelerates innovation in forest monitoring and ecological modelling—directly supporting the goals of the ORD Explore programme.