Humanreported

Humanreported is a term used to describe information that comes directly from people, rather than being generated by devices, sensors, or automated systems. It covers self-reports, interviews, surveys, and user-generated content where respondents disclose experiences, perceptions, or statuses in their own words.

It is widely used across disciplines such as healthcare, social science, market research, and safety reporting to capture subjective outcomes, symptoms, or opinions that are not readily observable by external measurement. Humanreported data are often contrasted with machine-reported or sensor-reported data.

Advantages include the ability to capture nuanced context, personal experience, and rare or subjective phenomena. They can provide insights into quality of life, user satisfaction, or symptom progression that measurements alone cannot.

Limitations include biases from recall or social desirability, variability in interpretation of questions, and nonresponse. Privacy concerns and data protection are important when collecting personal information. Data quality depends on question design, respondent understanding, and the integrity of reporting.

Quality control approaches involve standardized questionnaires, validation studies, triangulation with other data sources, and ethical safeguards such as informed consent and anonymization. Documentation of provenance helps distinguish humanreported data from other data streams in datasets and analyses.

Related terms include self-reported data, user-reported outcomes, and crowd-sourced or citizen-reported information. The term is often used descriptively in data governance and methodological sections of research to clarify the source and nature of the information.