Abstract Patient-derived tumor xenograft (PDX) mouse models have emerged as an important oncology research platform to study tumor evolution, drug response and for tailoring chemotherapeutic approaches to individual patients. PDX models are produced and made available in repositories managed by small academic labs, large research consortia and contract research organizations. Because of the distributed and heterogeneous nature of PDX repositories, finding relevant models of interest to investigators is a challenge. To address this issue, The Jackson Laboratory and EMBL-EBI have co-developed the PDX Finder, a comprehensive open global catalogue of PDX models and their associated data across resources. In support this initiative, we coordinated the community initiative to develop the PDX models Minimal Information standard (PDX-MI) that defines the minimal information necessary for describing key elements of a PDX model including the clinical attributes of a patient's tumor, methods of implantation, host strain, and quality assurance methods used for model validation†. PDX-MI serves as the basis for PDX Finder's comprehensive search and attribute filtering options (e.g., tumor histology, molecular variant, drug response). Within PDX Finder, model attributes are harmonized and integrated into a cohesive ontological data model that supports consistent searching across the originating resources. From PDX Finder, direct links to these resources are provided to allow users to contact the relevant institution for model acquisition and further collaboration. PDX Finder is formally collaborating with several worldwide consortia including PDXnet and EurOPDX to increase “findability” of PDX models and to advance cancer research and drug discovery. PDX Finder is currently displaying over 1200 PDX models for a wide variety of cancers and is actively recruiting more models. The community is invited to explore and provide feedback on our portal as we build this rich resource at : www.pdxfinder.org. † Meehan et al, 2017. PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models. Cancer Res. 2017 Nov 1;77(21):e62-e66. Citation Format: Nathalie A. Conte, Terrence F. Meehan, Dale A. Begley, Debbie M. Krupke, Csaba Halmagyi, Jeremy C. Mason, Abayomi Mosaku, Steven B. Neuhauser, Helen Parkinson, Carol J. Bult. PDX Finder: An open and global catalogue of patient tumor-derived xenograft models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3281.