Deciding where to store research data is a perennial problem for researchers. Many researchers rely on cloud collaboration tools like Box, OneDrive, Dropbox, and GoogleDrive, to work collaboratively on documents, store and share data, and sync content to their local computer. These tools strike a balance between being easy to use and maintaining data security and integrity. While these platforms may seem interchangeable on the surface, several factors make finding the right fit for a research project problematic: · Institutions often provide a prescribed set of tools that are approved to store research data that they have licensed and vetted for security. · These platforms have slight variations in critical research data management features like file size/number limits, display options, security and granularity of sharing permissions that can vary among institutional contracts. · The needs of individual research projects, such as large individual file sizes, many small files, and compatibility with other data management tools, make finding a solution that works for an entire campus daunting. · Recently, some of these platforms have recently imposed storage limits forcing institutions to migrate data to other platforms or greatly restrict storage limits. · The sum of these factors makes inter-institutional collaboration particularly complicated. This poster describes differences in these platforms that affect data stewardship, capacity, file organization, and research workflows.