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Proceedings of the Association for Information Science and Technology
Article . 2020 . Peer-reviewed
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Diffusion and adoption of Linked Data among libraries

Authors: Jinfang Niu;

Diffusion and adoption of Linked Data among libraries

Abstract

AbstractThrough content analyses of literature about the Linked Data (LD) adoption of individual libraries, this study found that the diffusion of LD among libraries is a decentralized process with high‐degree of reinvention and a continuous process that includes multiple stages and might last for many years. The diffusion of LD among libraries involves the diffusion of numerous related innovations, follows three paths (inter‐library, intra‐library, and inter‐librarian), and is facilitated by four types of institutions (professional associations, vendors, external funders, and leading libraries) and three factors (avoiding re‐inventing the wheel, standardization, and commercialization).

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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).
    9
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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).
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.
BIP!Impulse provided by BIP!
9
Top 10%
Top 10%
Top 10%
gold