Academic libraries have a big data problem: Where can we put big licensed and open datasets so that researchers can easily access and analyze them? How do we broker access to the data our researchers need without prohibitively expensive investments in infrastructure, staffing, and updates? Why isn’t there a sustainable, affordable, and standardized library solution for large datasets? Meet CADRE, the open-source Collaborative Archive & Data Research Environment developed in collaboration with nine university libraries, eight non-profit and industry partners, and the IMLS. CADRE is a cloud-based platform solution for making licensed, big data sets & open and non-consumptive data sets accessible with appropriate security, stewardship, and storage in place. The CADRE model offers a new perspective on using shared tools to enable inexpensive, reliable, hands-off access to big data resources.