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The Santa Barbara Statement on Collections as Data was written by the Institute of Museum and Library Services supported Always Already Computational: Collections as Data project team. The first version was based on the collaborative work of participants at the first Collections as Data National Forum (UC Santa Barbara, March 1-3 2017). After its release, the team gathered comments from the Hypothesis web annotation tool and sought additional feedback across a series of conversations and workshops (April 2017 - April 2018). The current version of the statement was revised based on that community feedback, especially the close, directed feedback provided by workshop participants at the Digital Library Federation Forum 2017. This publication is part of the Collections as Data Framework hosted at https://osf.io/mx6uk/.
data, libraries, collections, museums, archives
data, libraries, collections, museums, archives
| 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). | 2 | |
| 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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