Big Data and Artificial Intelligence
Investigate the relationship between data literacy and the ability to generate robust evidence from big data. This implicates research about the nature of inference, prediction, and interpretation, as well as how practices of data literacy will be affected by artificial intelligence and machine learning.
Data Security, Infrastructure, and Architecture
Examine the factors that drive best practices, culture change, awareness, and researcher compliance surrounding data management excellence. Demonstrate how data literacy serves as a means to improve understanding.
Democratization and Ethical Use of Data
Study how data literacy is integral to discussions examining the equitable and inclusive use of data, with particular attention to data ownership and privacy.
Education and Training
Identify best practices for teaching data skills, promote awareness of effective approaches in research management, and determine whether data literacy training improves the ability to appraise and interpret data-driven information.
Evidence-Based Decision-Making
The utility of empirical findings derived from research to inform decision-making requires a level of competency with data. Identify the effects of limited data literacy on the knowledge dissemination and translation of data-driven evidence, as well as knowledge consumption by decision-makers.
