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多源API数据收集×多源文献收集×
领域调查方法论调查方法论
方法族Process / pipelineProcess / pipeline
起源年份2010s (accelerated with proliferation of public APIs)1970s–2000s (systematic articulation)
提出者Emergent practice in computational social science; formalized by Salganik, Ruths, Pfeffer, and othersRooted in qualitative documentary traditions; codified in mixed-methods and triangulation literature (Denzin 1970s; Bowen 2009)
类型Quantitative / mixed data collection techniqueData collection strategy
开创性文献Ruths, D., & Pfeffer, J. (2014). Social media for large studies of behavior. Science, 346(6213), 1063–1064. DOI ↗Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40. DOI ↗
别名multi-API data harvesting, multi-platform API collection, cross-API data aggregation, federated API data collectionmulti-source documentary research, multiple-document data collection, multi-site document analysis, cross-source document gathering
相关43
摘要Multi-source API-based data collection is a systematic technique in which a researcher simultaneously or sequentially queries two or more application programming interfaces (APIs) to harvest digital data for a research project. By drawing from multiple platforms or services — such as social media APIs, government open-data portals, or scientific data repositories — researchers can build richer, more representative datasets than any single source permits. The method is especially prominent in computational social science, digital humanities, public health surveillance, and environmental monitoring.Multi-source document collection is a data-gathering strategy in which researchers systematically locate, retrieve, and compare documents drawn from two or more independent sources — such as government archives, institutional records, media outlets, organisational reports, or digital repositories. By assembling evidence from diverse provenance, researchers can triangulate findings, detect discrepancies, and build a richer, more credible picture of the phenomenon under study than any single documentary source can provide.
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ScholarGate方法对比: Multi-source API-based Data Collection · Multi-source Document Collection. 于 2026-06-15 检索自 https://scholargate.app/zh/compare