Summary of input on improving the discoverability of long tail research datasets
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Discussion
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Hi all,
I have summarized the input received about discovery practices for “long tail” research data here: https://rd-alliance.org/group/long-tail-research-data-ig/wiki/summary-an…
Strategies fall into 6 categories (with quite a bit of overlap between these categories), which are linked to further pages that provide examples. Please feel free to add other examples. Also if you have other strategies that are not listed, please let me know and I can add them.Linking data to publications
Data citation- DOIs
Build an extra discovery layer that further describes data
Attach or link to Data Management Plans (DMPs)
Enable machine readability
Improve quality and comprehensiveness of metadata (through researcher education or by repository staff)Please also see the slides from the Dublin meeting in March 2014 for further examples: https://rd-alliance.org/group/long-tail-research-data-ig/wiki/profiles-managing-long-tail-presentations-dublin-meeting-2014
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