विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| ऑनलाइन सेंसर डेटा संग्रह× | एपीआई-आधारित डेटा संग्रह× | |
|---|---|---|
| क्षेत्र | सर्वेक्षण पद्धति | सर्वेक्षण पद्धति |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | Late 1990s–early 2000s (Internet of Things paradigm formalized ~2000) | 2000s–2010s (formalized as a research method) |
| प्रवर्तक≠ | Akyildiz et al. (foundational survey); DARPA SensIT programme (~2000) | Emerged from computational social science and web 2.0 platform practices |
| प्रकार≠ | Quantitative / mixed-mode data collection technique | Digital data collection technique |
| मौलिक स्रोत≠ | Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: a survey. Computer Networks, 38(4), 393–422. DOI ↗ | Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648 |
| उपनाम | networked sensor data collection, IoT data collection, remote sensor monitoring, wireless sensor data acquisition | API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection |
| संबंधित≠ | 6 | 5 |
| सारांश≠ | Online sensor data collection is a systematic technique for gathering continuous or event-triggered measurements from physical sensors that transmit readings in real time over a network — the internet, a local wireless network, or a dedicated IoT protocol. It is used widely in environmental monitoring, health informatics, smart-city research, industrial systems, and behavioral science to capture objective, high-frequency data without requiring manual recording by participants or observers. | 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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