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| Прикупљање докумената на даљину× | Веб стругање× | |
|---|---|---|
| Oblast | Metodologija anketa | Metodologija anketa |
| Porodica | Process / pipeline | Process / pipeline |
| Godina nastanka≠ | 2000s–present (digital shift of traditional document collection) | Late 1990s–2000s |
| Tvorac≠ | Rooted in classical document analysis (Bowen 2009; Scott 1990); remote modality formalized in digital humanities and qualitative online research from the 2000s onward | Early internet practitioners; systematised in research contexts from the late 1990s onward |
| Tip≠ | Qualitative / mixed-methods data collection technique | Automated digital data collection technique |
| Temeljni izvor≠ | Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40. DOI ↗ | Mitchell, R. (2018). Web Scraping with Python: Collecting More Data from the Modern Web (2nd ed.). O'Reilly Media. ISBN: 978-1491985571 |
| Drugi nazivi | digital document retrieval, online archival collection, virtual document gathering, remote archival research | web harvesting, screen scraping, web crawling, automated data extraction |
| Srodne | 5 | 5 |
| Sažetak≠ | 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. | Web scraping is a computational data collection technique in which software automatically retrieves and extracts structured or semi-structured content from websites. Widely used in social science, computational linguistics, economics, and information science, it enables researchers to assemble large datasets from publicly accessible web sources — such as news archives, social media platforms, government portals, and online marketplaces — that would be impractical to collect manually. |
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