So sánh phương pháp

	Thu thập dữ liệu dựa trên API đa nguồn	Thu thập tài liệu đa nguồn
Lĩnh vực	Phương pháp luận khảo sát	Phương pháp luận khảo sát
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2010s (accelerated with proliferation of public APIs)	1970s–2000s (systematic articulation)
Người khởi xướng	Emergent practice in computational social science; formalized by Salganik, Ruths, Pfeffer, and others	Rooted in qualitative documentary traditions; codified in mixed-methods and triangulation literature (Denzin 1970s; Bowen 2009)
Loại	Quantitative / mixed data collection technique	Data collection strategy
Công trình gốc	Ruths, D., & Pfeffer, J. (2014). Social media for large studies of behavior. Science, 346(6213), 1063–1064.	Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40.
Tên gọi khác	multi-API data harvesting, multi-platform API collection, cross-API data aggregation, federated API data collection	multi-source documentary research, multiple-document data collection, multi-site document analysis, cross-source document gathering
Liên quan	4	3
Tóm tắt	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.