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Article . 2019
License: CC BY NC SA
Data sources: Datacite
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Collections as Data Facets --- Always Already Computational: Collections as Data

descriptionPublicationkeyboard_double_arrow_right Article 20 May 2019 English Publisher:Zenodo
Authors: Rodgers, Richard; Newbury, David; Fowler, Dan; Whitmire, Amanda; Ziegler, Scott; Porter, Dot; Butterhof, Robin; +20 Authors

doi: 10.5281/zenodo.3066239 , 10.5281/zenodo.3066240

Collections as Data Facets --- Always Already Computational: Collections as Data

Abstract

Collections as Data Facets document collections as data implementations. An implementation consists of the people, services, practices, technologies, and infrastructure that aim to encourage computational use of cultural heritage collections. This publication is part of the Collections as Data Framework hosted at https://osf.io/mx6uk/.

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Keywords

data, libraries, collections, museums, archives

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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).
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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