Examine the key concepts of data literacy.

Includes support for navigating the "Information Lifecycle," articulating the value of data governance, and the importance of critical thinking in data literacy.

• Includes support for navigating the "Information Lifecycle," articulating the value of data governance, and the importance of critical thinking in data literacy.

Adhere to and advocate for appropriate and secure data handling procedures.

• Includes support for understanding federal privacy regulations and the impact on handling data, understanding your institution’s security and privacy policies, and data ethical issues.

Methods and tools of data and metadata use, management, storage, and preservation.

• Includes support for identification of data sources, for data management workflow, for common data classification schemas and data curation requirements, and for understanding metadata and its purpose.

Identify, retrieve, and evaluate the quality of data.

• Includes support for understanding the importance of research questions; the categories of data; and data needed to address a defined area of inquiry.

Conduct data analysis, interpret and evaluate the results, and draw conclusions.

• Includes support for developing a data analysis plan; conducting exploratory data analysis, evaluation of results, identification of discrepancies, and comparison to other findings.

Visually and verbally communicate their conclusions in easy-to-understand and meaningful ways.

• Includes support for identifying and selecting meaningful findings; converting data into visual representations; and discussing ways to communicate outcomes.

Develop strategies for cultivating a data-informed campus culture. a governance.

• Includes support for understanding how data and analytics can address higher education challenges; the elements of data governance; and planning to improve dat