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New Applications of Usage Data: Event Slides
Slides from the May 13, 2009 NISO/COUNTER webinar, "New Applications of Usage Data."
In order to ensure that the use of these online information resources is measured in a more consistent way is an agreed international set of standards and protocols governing the recording and exchange of online usage data. The COUNTER Codes of Practice provide these standards and protocols and are published in full on this website.
SUSHI - the Standardized Usage Statistics Harvesting Initiative Protocol (ANSI/NISO Z39.93-2007) - is a standard that defines an automated request and response model for the harvesting of electronic resource usage data utilizing a Web services framework. It is intended to replace the time-consuming user-mediated collection of usage data reports.
- SUSHI FAQ
- SUSHI Schemas
- NISO SUSHI Developers List
The aim of this JISC project is to develop COUNTER-compliant usage reports at the individual article level that can be implemented by any entity (publisher, aggregator, IR, etc.,) that hosts online journal articles and will enable the usage of research outputs to be recorded, reported and consolidated at a global level in a standard way. Completed in January 2009, the final report includes a proof-of-concept COUNTER-compliant XML prototype for an individual article usage report; a tracker code, to be implemented by repositories; a range of scenarios for the creation, recording, and consolidation of individual article usage statistics; and specifying criteria for a central facility that will create, collect, or consolidate usage statistics.
PLoS Blog Post, announcing the initial round of Article-Level Metrics at PLoS
Example PLoS articles which display a range of 'Article-Level Metrics'
Examples of articles which have previously explored the concept and promise of 'Article Level Metrics'
M. Jensen. The new metrics of scholarly authority. The Chronicle, June 2007.
Soft peer review? Social software and distributed scientific evaluation.
Work performed by COUNTER on article-level usage reporting (PIRUS)
Journal of Vision
Frontiers in Neuroscience