Comparer des méthodes

	Collecte de données par capteurs distants	Collecte de données via API
Domaine	Méthodologie d'enquête	Méthodologie d'enquête
Famille	Process / pipeline	Process / pipeline
Année d'origine	1990s–2000s (proliferated with wireless and IoT technologies)	2000s–2010s (formalized as a research method)
Auteur d'origine	Multiple contributors; foundational wireless sensor network (WSN) survey by Akyildiz et al.	Emerged from computational social science and web 2.0 platform practices
Type	Automated quantitative data collection	Digital data collection technique
Source fondatrice	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
Alias	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
Apparentées	6	5
Résumé	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.