Difference between revisions of "SUNScholar/Web Analytics"

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<font color="red">'''It is very important that you ensure that the repository is properly configured so that accurate and authoritative metrics can be accomplished.'''</font>
 
<font color="red">'''It is very important that you ensure that the repository is properly configured so that accurate and authoritative metrics can be accomplished.'''</font>
  
The metrics services should be able to reference unique [http://en.wikipedia.org/wiki/Machine-readable_data machine-readable] identifiers and detailed metadata for [[SUNScholar/Open_Access|openly accessible]] digital research artifacts in the repository.
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The metrics services should be able to reference unique persistent [http://en.wikipedia.org/wiki/Machine-readable_data machine-readable] identifiers and detailed metadata for [[SUNScholar/Open_Access|openly accessible]] digital research artifacts in the repository.
  
 
Publishing public data in an open, standard, machine-readable format is a best practice.
 
Publishing public data in an open, standard, machine-readable format is a best practice.
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==[[SUNScholar/Repository Website Metrics|Repository Website Metrics]]==
 
==[[SUNScholar/Repository Website Metrics|Repository Website Metrics]]==
 
==[[SUNScholar/References|References]]==
 
==[[SUNScholar/References|References]]==
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*https://project-thor.readme.io/docs/introduction-to-persistent-identifiers
 
*[[Media:Acrl-meaningful-metrics.pdf|2016 - ACRL - MEANINGFUL METRICS]]
 
*[[Media:Acrl-meaningful-metrics.pdf|2016 - ACRL - MEANINGFUL METRICS]]
 
*[[Media:The-leiden-manifesto.pdf|2015 - NATURE - THE LEIDEN MANIFESTO]]
 
*[[Media:The-leiden-manifesto.pdf|2015 - NATURE - THE LEIDEN MANIFESTO]]

Revision as of 13:24, 24 February 2016

Back to Customisation

Introduction

It is very important that you ensure that the repository is properly configured so that accurate and authoritative metrics can be accomplished.

The metrics services should be able to reference unique persistent machine-readable identifiers and detailed metadata for openly accessible digital research artifacts in the repository.

Publishing public data in an open, standard, machine-readable format is a best practice.

Research Article Metrics

Repository Website Metrics

References

Research

Centre for Research on Evaluation, Science and Technology

San Francisco Declaration on Research Assessment (DORA)

Dora-poster.png