Presentation Open Access

User demand for supporting advanced analysis of historical text collections

Kemman, Max; Claeyssens, Steven

Digital research environments are confronted with a gap between simple search interfaces and advanced functionalities for (text) analysis. Researchers can usually choose between either a user-friendly search interface to read individual sources with few or no options for analysis, or API-access or data export which necessitates coding skills for advanced analyses of (big) datasets.

In the present study we explored whether the KB, the national library of the Netherlands, could develop a digital research environment for historical text collections that bridges this gap and offers advanced analysis tools that are sufficiently usable for scholars (and other users) without programming skills, a so-called ‘text suite’.

63
73
views
downloads
All versions This version
Views 6363
Downloads 7373
Data volume 33.6 MB33.6 MB
Unique views 5555
Unique downloads 5555

Share

Cite as