방법 비교

	원격 센서 데이터 수집	API 기반 데이터 수집
분야	조사방법론	조사방법론
계열	Process / pipeline	Process / pipeline
기원 연도	1990s–2000s (proliferated with wireless and IoT technologies)	2000s–2010s (formalized as a research method)
창시자	Multiple contributors; foundational wireless sensor network (WSN) survey by Akyildiz et al.	Emerged from computational social science and web 2.0 platform practices
유형	Automated quantitative data collection	Digital data collection technique
원전	Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: A survey. Computer Networks, 38(4), 393–422.	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648
별칭	remote sensing data acquisition, wireless sensor data collection, distributed sensor data collection, telemetric data collection	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection
관련	6	5
요약	Remote sensor data collection is the systematic acquisition of measurements from geographically distributed sensing devices without requiring direct human presence at each location. Sensors continuously or periodically record physical, chemical, or biological variables — temperature, pressure, motion, light, GPS coordinates — and transmit readings wirelessly or via network to a central repository for analysis. Widely used in environmental monitoring, precision agriculture, health informatics, and smart infrastructure.	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.