방법 비교

	온라인 문서 수집	API 기반 데이터 수집
분야	조사방법론	조사방법론
계열	Process / pipeline	Process / pipeline
기원 연도	1990s–2000s (digital / web era)	2000s–2010s (formalized as a research method)
창시자	Adapted from traditional document analysis; digital form emerged with widespread internet adoption	Emerged from computational social science and web 2.0 platform practices
유형	Qualitative / mixed-methods data collection technique	Digital data collection technique
원전	Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40.	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648
별칭	digital document collection, web document gathering, online archival data collection, digital records collection	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection
관련	5	5
요약	Online document collection is the systematic process of identifying, retrieving, and compiling digital documents — including web pages, institutional publications, social media posts, policy documents, and digital archives — as primary or supplementary research data. It extends classical document analysis into internet-mediated environments, enabling researchers to access large, geographically dispersed corpora without fieldwork travel or physical archive access.	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.