Research data management education strives to provide guidance on how researchers can effectively manage their data to increase the scholarly impact from their research. However, guidelines for data management may vary significantly across domain areas. Researchers in science, technology, engineering, and mathematics (STEM) engage with many types and sizes of data, all with their own considerations for how to effectively manage them. This workshop will provide data management tips and tips specifically aimed at STEM students and researchers from all levels (students, staff, and faculty), including how to clean data, develop file-naming schemes, and store your data securely, with particular attention also applied to big data. As we will be exploring several online tools and resources which aid in data management, it will be helpful (but not required) for participants to have administrative access on their computers in order to download and explore software highlighted in the workshop.