Difference between revisions of "SUNScholar/Web Analytics"
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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. | 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. | ||
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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. | ||
Revision as of 09:49, 1 March 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.
http://www.webcitation.org
Publishing public data in an open, standard, machine-readable format is a best practice.
Research Article Metrics
Repository Website Metrics
References
- https://project-thor.readme.io/docs/introduction-to-persistent-identifiers
- 2016 - ACRL - MEANINGFUL METRICS
- 2016 - NISO - ALTMETRICS DATA QUALITY CODE OF CONDUCT
- 2015 - SPARC - BETTER WAYS TO EVALUATE RESEARCH AND RESEARCHERS
Research Metrics Research
Centre for Research on Evaluation, Science and Technology
Research Assessment Revision
San Francisco Declaration on Research Assessment (DORA)
