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Position Statements --- Always Already Computational: Collections as Data

Authors: Bailey, Jefferson; Chassanoff, Alexandra; Clement, Tanya; Foreman, Gabrielle P.; Mookerjee, Labanya; Fowler, Dan; Green, Harriett; +21 Authors

Position Statements --- Always Already Computational: Collections as Data

Abstract

Participants at Always Already Computational: Collections as Data Forum 1 (March 1-3, 2017) were asked to respond to the following prompt: Leading up to the forum, [we] ask that you write a brief position statement derived from direct or related experience salient to the scope of work described in Always Already Computational. We welcome bridging, divergence, and provocation. Is there something concrete or conceptual we are missing? Are there projects and initiatives this work should be connected to? Are there questions and communities we aren’t currently considering? This is an opportunity to highlight aspects of your experience that relate to the project and will to some extent help stage interaction at the face-to-face meeting - and beyond - as the project team works to iteratively refine forum outputs in a range of professional and disciplinary communities. Perspectives represented in the position statements highlight the many directions collections as data work could go. The statements certainly informed the work of the forum, and consequently the iterative community based development of project outcomes. This publication is part of the Collections as Data Framework hosted at https://osf.io/mx6uk/.

Keywords

data, collections, libraries, archives, museums

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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).
BIP!Citations provided by BIP!
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).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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