เปรียบเทียบวิธี

	การเก็บข้อมูลเซ็นเซอร์ที่ผ่านการทดลองนำร่อง	การเก็บรวบรวมข้อมูลด้วย API
สาขาวิชา	ระเบียบวิธีสำรวจ	ระเบียบวิธีสำรวจ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1990s–2000s (formalized with proliferation of digital sensing technologies)	2000s–2010s (formalized as a research method)
ผู้ริเริ่ม	General research methods practice; sensor pilot testing codified through IoT and environmental monitoring literature	Emerged from computational social science and web 2.0 platform practices
ประเภท	Data collection procedure with pre-deployment validation phase	Digital data collection technique
แหล่งต้นตำรับ	Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). Sage Publications. ISBN: 978-1506386706	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648
ชื่อเรียกอื่น	sensor pilot study, sensor pre-deployment testing, instrument validation with sensors, sensor calibration pilot	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection
ที่เกี่ยวข้อง	6	5
สรุป	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.	API-based data collection is a systematic technique in which a researcher sends structured requests to an application programming interface to retrieve data automatically from digital platforms, databases, or services. It is the primary method used in computational social science to gather large-scale social media records, government open data, financial data streams, and scientific repository content in machine-readable formats such as JSON or XML, enabling reproducible and scalable data acquisition that manual collection cannot match.