手法を比較

	センサーデータ収集のパイロットテスト	パイロットテスト済みフィールドノート
分野	調査方法論	調査方法論
系統	Process / pipeline	Process / pipeline
提唱年	1990s–2000s (formalized with proliferation of digital sensing technologies)	Field notes: early 20th century; pilot-testing protocols formalised mid-20th century
提唱者	General research methods practice; sensor pilot testing codified through IoT and environmental monitoring literature	Ethnographic tradition (Bronislaw Malinowski, Robert Emerson et al.); pilot testing practice generalised across social sciences
種類	Data collection procedure with pre-deployment validation phase	Qualitative data collection technique
原典	Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). Sage Publications. ISBN: 978-1506386706	Emerson, R. M., Fretz, R. I., & Shaw, L. L. (2011). Writing Ethnographic Fieldnotes (2nd ed.). University of Chicago Press. ISBN: 978-0226206837
別名	sensor pilot study, sensor pre-deployment testing, instrument validation with sensors, sensor calibration pilot	pre-validated field notes, pilot field observation notes, trial-tested observational notes
関連	6	4
概要	Pilot-tested sensor data collection is a structured data gathering approach in which sensor instruments — hardware or software-based devices that measure physical, environmental, physiological, or behavioral signals — are deployed in a small-scale trial before the main study. The pilot phase verifies sensor accuracy, communication reliability, data format consistency, and placement adequacy, allowing researchers to identify and correct technical problems before full-scale data collection begins.	Pilot-tested field notes combine the classical ethnographic practice of systematic observational recording with a deliberate pre-validation phase. Before the main data collection begins, the researcher conducts one or more trial observation sessions to test and refine the note-taking protocol — assessing categories, focus areas, and recording conventions — so that the main fieldwork captures relevant data consistently and completely.