Considerations for Data Analysis

The choices you make while analyzing your data can also contribute to effectively managing your research data:

  • Document your steps. Consider the software you use for analysis, and whether those applications automatically generate information about your data files (metadata) and process steps (such as log files). Keeping track of your steps can save you time when you want to recreate your work, or share your methodology with others.
  • Boost your skills. If you’re new to using an application, or just want to learn more about software you use regularly, look for training opportunities. Emory University provides institutional access to Lynda.com for a wide variety of online courses you can take on your own time.
  • Keep your data safe. Describe your data as you capture it, organize your files, and make smart choices about where you store your data. Since some software programs produce files that are proprietary and can only be opened in their applications, consider saving data in formats that can be opened by different software programs.

Learn more about data analysis resources at Emory.