OpenAIRE Usage Counts. The analytics service of OpenAIRE Research Graph
Pierrakos D, Czerniak A, Schirrwagen J (2020)
Presented at the Research Data Alliance 16th Plenary Meeting, Virtual.
Usage metrics for all types of scholarly output are one of the measures to assess Open Access impact and are a
value added service of Open Access repositories. OpenAIRE has a succesful record in providing usage metrics for for a large number of repositories from around the world.
OpenAIRE's Usage Counts service collects usage activity from OpenAIRE content providers, like Insitutional Repositories or national aggreegators like IRUS-UK, or LaReferencia, for usage events related to research products of the OpenAIRE graph, like publications. It subsequently creates and deploys aggregated statistics for these products and delivers standardized activity reports following the COUNTER CoP, about research usage and uptake. It complements existing citation mechanisms and assists institutional repository managers, research communities, research organizations, funders and policy makers track and evaluate research from an early stage.
Following its successful record in publications, OpenAIRE's Usage Counts service is ready to be applied to another product of the OpenAIRE reasearch graph, i.e., the research data. The service will monitor and analyze usage activity for research data repositories, as well as usage reports from aggregators like Datacite. This usage will not only be aggregated but also combined with usage activity from publications, by exploiting other OpenAIRE services like the OpenAIRE ScholeXplorer. In this manner OpenAIRE Usage Counts Service will operate as a hub of usage statistics, linking together all kinds of scholarly output, offering a value added service for Open Access and realize the Open Analytics Framework and Infrastructure required for scientific reward in European Open Science Cloud.
From the technical perspective, usage data will be collected in two ways: (1) by collecting usage events directly from data repositories and (2) from research data statistics aggregators exposing consolidated statistics via SUSHI-Lite. The final outcome is an OpenAIRE service for tracking, collection, cleaning, analysis, evaluation and COUNTER-compliant reporting of research data combined with other products from OpenAIRE research graph. The poster will
describe two aspects: 1) The potential of the OpenAIRE Usage Counts service to explore a number of
multidimensional scholarly performance indicators. 2) Contributing as a Usage Counts Hub to services aggregating OpenAIRE Research Graph product-level metrics.