
GLAM (Galleries, Libraries, Archives and Museums) institutions host rich content that is provided in the form of digital collections. Bibliographic databases are collections of references focused on a particular topic that can be used to apply Digital Humanities (DH) methods. Recent approaches such as Collections as Data and Labs promote the publication of digital collections supporting computational use.This work aims to provide a framework for publishing and reusing digital collections based on literary bibliographies published by GLAM institutions in order to make them suitable for computational use in the form of Collections as Data, in particular, in the context of the European Literary Bibliography. It also describes the infrastructure used and DH research scenarios to illustrate how the results can be reused for different goals. Digital curators and DH researchers interested in making their datasets available in the form of Collections as Data are the intended audience of this work.
| 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). | 1 | |
| 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 |
