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Position Statements -> Collections as Data: State of the field and future directions

Authors: Chambers, Sally; Walsh, Melanie; Caswell, Michelle; Harder, Geoff; Okumura, Mercedes; Corrin, Julia; Baeza Ventura, Gabriela; +53 Authors

Position Statements -> Collections as Data: State of the field and future directions

Abstract

Position statements were authored by participants of Collections as Data: State of the field and future directions, a working event held April 25-26 in Vancouver, Canada as part of the Mellon foundation supported Collections as Data: Part to Whole. Position statement authors responded to the following prompt: We ask that you write a brief position statement (1-2 pages) derived from direct or related experience salient to the scope of work described in Collections as Data: Part to Whole (see grant narrative and sub grantee final reports). Please send to us by April 7. We strongly welcome bridging, divergence, and provocation in your position statements. Is there something concrete or conceptual we are missing? Are there questions and communities we aren’t currently considering? This is an opportunity to highlight aspects of your experience that relate to collections as data and will help stage interaction at the face-to-face meeting as we collectively consider the state of the field and future directions together. As a whole, these position statements will form a collective resource to be shared publicly with any community interested in collections as data.

Keywords

machine learning, collections as data, AI, libraries, museums, archives

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citations
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.
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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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