A critical part of making data usable and shareable is to ensure they can be understood and interpreted by others. This requires clear and detailed data description, annotation and contextual information. In addition, you will need to retain details about your data collection and methodology at least until the end of your project. Data documentation and metadata is a vital part of managing your research data that needs to be done throughout the project, not just at the end. Come learn and explore tools like Colectica, Nesstar, Morpho, and iPhoto that will help you document your data while you collect and analyze it.