विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| टेलीफोन-सहायता प्राप्त सेंसर डेटा संग्रह× | एपीआई-आधारित डेटा संग्रह× | |
|---|---|---|
| क्षेत्र | सर्वेक्षण पद्धति | सर्वेक्षण पद्धति |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 2000s–2010s (aligned with smartphone proliferation) | 2000s–2010s (formalized as a research method) |
| प्रवर्तक≠ | Emerging from ubiquitous computing and digital health research communities; no single originator | Emerged from computational social science and web 2.0 platform practices |
| प्रकार≠ | Passive and active data collection via telephone/smartphone sensors | Digital data collection technique |
| मौलिक स्रोत≠ | 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. DOI ↗ | Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648 |
| उपनाम | 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 |
| संबंधित | 5 | 5 |
| सारांश≠ | 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. |
| ScholarGateडेटासेट ↗ |
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