For the purposes of this guide, data literacy is defined as the ability to ethically find, analyze, and communicate data in the research process.
This guide is organized by three stages of the research data life cycle:
1. Finding Data
2. Analyzing and Visualizing Data
These stages are common to data-driven research across disciplines, though the definition of data itself can vary by discipline. Here are some examples:
| Discipline | Examples of data |
|---|---|
| physical sciences |
|
| life sciences |
|
| social sciences |
|
| humanities |
|
For more information about the stages in the research data life cycle, see the UCLA Library Data Literacy Core Competencies.
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