Linganisha mbinu

	Ukusanyaji wa Hati kwa Mbali	Ukusanyaji Data kwa kutumia API
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2000s–present (digital shift of traditional document collection)	2000s–2010s (formalized as a research method)
Mwanzilishi	Rooted in classical document analysis (Bowen 2009; Scott 1990); remote modality formalized in digital humanities and qualitative online research from the 2000s onward	Emerged from computational social science and web 2.0 platform practices
Aina	Qualitative / mixed-methods data collection technique	Digital data collection technique
Chanzo asilia	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
Majina mbadala	digital document retrieval, online archival collection, virtual document gathering, remote archival research	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection
Zinazohusiana	5	5
Muhtasari	Remote Document Collection is a data collection technique in which researchers gather written, visual, or multimedia documents from digital sources — online archives, institutional repositories, cloud storage, email, or government databases — without requiring physical presence. It extends classical document analysis into digital environments, enabling access to geographically dispersed or restricted materials and making it especially valuable for large-scale, cross-national, or time-sensitive research projects.	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.