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Fight for your right!: Marketing data and data resources to non-data users

Authors: Lynda Kellam;

Fight for your right!: Marketing data and data resources to non-data users

Abstract

As data professionals, our work often requires explaining and justifying our positions and our data resources. Whether we are data librarians in large research institutions with well-established services or social science librarians at small institutions with few data users, we all must fight for resources that may seem overly expensive and esoteric to non-data users. In this pecha kucha I will highlight efforts at various libraries to make data services and resources accessible (and appealing) to non-data users. These efforts are not limited to the use of creative marketing techniques; they also include approaches to teaching and virtual reference that introduce users to data resources without overwhelming them. At the most basic level, the way that we communicate and explain our services on our websites impact how our users will interact with us and our resources. In a world of 20% budget reductions data professionals must fight for the right to data while developing relationships with partners throughout our user communities that will lead to better understanding of, and as a result, higher use of data resources.

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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).
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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).
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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