Salīdzināt metodes

	Telefona atbalstīta sensoru datu vākšana	Datu vākšana, izmantojot API
Nozare	Aptauju metodoloģija	Aptauju metodoloģija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	2000s–2010s (aligned with smartphone proliferation)	2000s–2010s (formalized as a research method)
Autors	Emerging from ubiquitous computing and digital health research communities; no single originator	Emerged from computational social science and web 2.0 platform practices
Tips	Passive and active data collection via telephone/smartphone sensors	Digital data collection technique
Pirmavots	Lane, N. D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., & Campbell, A. T. (2010). A survey of mobile phone sensing. IEEE Communications Magazine, 48(9), 140–150.	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648
Citi nosaukumi	phone-based sensor data collection, telephone-mediated sensor monitoring, mobile phone sensor data collection, TASDC	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection
Saistītās	5	5
Kopsavilkums	Telephone-assisted sensor data collection uses participants' mobile phones as sensing platforms to gather continuous or triggered streams of physical and behavioral data — such as movement, location, and ambient sound — without requiring them to attend a lab. A research application installed on the phone captures sensor readings and transmits them to a central server, enabling large-scale, ecologically valid measurement of real-world behavior over days or weeks.	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.