
Why bring Doctor Who and the TARDIS into a panel discussion about data in archives? One, because it’s fun, and two, because this is a story about time travel, collaboration, and rescue. For decades, the Doctor has been traveling through time to perform quirky and creative rescue missions. Like historical datasets, each adventure presents unique challenges, but one thing remains constant: the Doctor works best with others, and the same is true of historical data rescue, which requires expertise in archives, data, and the related subject matter. Discovering usable, historical data in an archives can feel as delightful and magical as the best episodes of Doctor Who. It can also be as tedious and frustrating as the worst episodes, but like all good science fiction, even the worst bits pose illuminating questions.
Historical data
Historical data
| 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 |
