Different forms of data require consideration of the particular issues in their capture, storage, processing, publication, and archiving. These considerations include potential for inclusion of sensitive data, the benefits and risks of limiting data (e.g., the potential for distorting data through removing identifiers), the possibility of having captured incidental data (e.g., in videoing a group another class member can be heard commenting the background; in collecting blog posts, the comments are also obtained, etc.), and what expectations of what is private vs public might be both for analysis and subsequent dissemination. This is particularly salient as new methods of reidentification emerge, and standards of appropriateness are established in sharing original data that may have been made publicly available (but not for research purposes).