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| Zbieranie danych z wielu źródeł za pomocą API× | Gromadzenie dokumentów z wielu źródeł× | |
|---|---|---|
| Dziedzina | Metodologia badań sondażowych | Metodologia badań sondażowych |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 2010s (accelerated with proliferation of public APIs) | 1970s–2000s (systematic articulation) |
| Twórca≠ | 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) |
| Typ≠ | Quantitative / mixed data collection technique | Data collection strategy |
| Źródło pierwotne≠ | 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 ↗ |
| Inne nazwy | 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 |
| Pokrewne≠ | 4 | 3 |
| Podsumowanie≠ | 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. |
| ScholarGateZbiór danych ↗ |
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