Data can be broadly defined as factual information that is systematically recorded and analyzed to answer a question. However, the definitions of data differ depending on the field or discipline.
There are three main data types:
In addition, we distinguish three main data types based on the format of the data:
Data literacy is the ability to read, work with, analyze, visualize, interpret, argue with, and use data to make decisions and solve problems.
Data literacy skills are considered to be essential 21st-century skills and an important asset in a range of professions and disciplines.
An open-access online resource created by the National Network of Libraries of Medicine (NNLM). It contains definitions, relevant literature, and web resources for common data-related terms.
Data Fluency: Exploring and Describing Data (LinkedIn Learning)
The course covers the fundamentals of data fluency, or the ability to work with data, with a focus on quantitative data and statistical analyses, as well as using data to generate insights and solve problems.
Length: 4 hours, 20 minutes. (Free access with Bucknell login.)