The datasets you produce in your research aren’t just an add-on to your publications—they can be standalone research outputs that can be cited, reused, and contribute to new findings. But not all shared data is good data, and datasets aren’t likely to be reused or cited if they’re disorganized, poorly described, or hard to access. This session will cover everything you need to know about maximizing the citation and reuse of your data, including picking a data repository that tracks usage metrics, curating your data prior to sharing, and making it as simple as possible for others to find, access, and cite your work.