Glossary

Imputation involves replacing missing values, with an estimated value. It is one of three options for handling missing data. The general principle is to delete when the data are expendable, impute when the data are precious, and segment for the less common situation in which a large data set has a large fissure.

Source: SAGE Research Methods.

The likelihood that a synthetic data point is unique enough that it may lead someone to go looking for an identifiable individual or entity in real-world data. This can occur when synthetic data is created with high fidelity across multiple features as it reproduces the combinations of characteristics that make records distinctive. Just as with disclosure risk, managing indication risk is important for ensuring responsible use of data and meeting data protection requirements.

Informed consent is a process used in research where individuals are provided with complete and adequate information about a study including its risks, benefits, and alternatives, based on which the individual decides whether to participate in the study or not.

Source: SAGE Research Methods.

Interactive documentation turns static guides into hands-on experiences, enabling users to learn through doing rather than merely reading. For example, rather than reading a step-by-step guide on how to run a regression in R, a learner can write and execute the code directly within the documentation and see the output immediately. See also Non-interactive documentation.

Types of hardware, such as sensors, actuators, or appliances, that connect to a network, whether the internet or a local network, to gather, share, and respond to data.

Describes a process that involves repeating a cycle of actions, such as designing, testing, and refining, to gradually improve a product, formula, or idea.