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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’.
text suite, user research, digital history, digital humanities
text suite, user research, digital history, digital humanities
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 10 |

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