handmetadata
handmetadata refers to information about the process of collecting or generating data, specifically within the context of human interaction with technology or information systems. This type of metadata can include details about who performed an action, when it occurred, how it was performed, and what tools or interfaces were used. For instance, in the development of a machine learning model that relies on human input, handmetadata might track which annotators labeled which data points, the instructions they were given, and the confidence scores they assigned.
This metadata is crucial for ensuring data quality, understanding potential biases introduced by human annotators, and