OpenAIRE Presentation @3AMconf - Supporting Research Analytics by OpenAIRE Usage Statistics Hub
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The document discusses OpenAIRE's efforts in promoting open scholarship through collaborative research analytics among 50+ EU partners. It highlights the establishment of standard usage data collection methods while ensuring data privacy, as well as the integration of altmetrics and citation metrics. The OpenAIRE usage statistics hub aims to provide responsible metrics that support qualitative evaluation and adapt to the diverse needs of researchers.
OpenAIRE Presentation @3AMconf - Supporting Research Analytics by OpenAIRE Usage Statistics Hub
- 1. Supporting Research Analytics by OpenAIRE’s Usage Statistics Hub Dimitris Pierrakos, ATHENA Research & Innovation Center Jochen Schirrwagen, Bielefeld University Pedro Príncipe, University of Minho
- 2. OpenAIRE2020 Usage Analysis Service: Aims • OpenAIRE2020: 50+ Partners from EU collaborate towards the promotion of open scholarship and substantially towards the improvement of the discoverability & reusability of research information & data. • Standard alignment across heterogeneous data providers for gathering usage data & sharing statistics. • Taking care of data privacy policies in EU and member states. • Collection, measure and analysis of usage data (downloads and views). • Correlate with altmetrics. • Correlate with citation metrics.
- 4. Challenges for Altmetrics •Changing nature of the Social Web; •Self-promotion and Gaming; •Social impact is not necessarily meaningful for scholarly impact;
- 5. Usage: Tier 1 Tracking Workflow
- 6. Usage: Tier 2 Aggregated Statistics Workflow using SUSHI Lite
- 7. Altmetrics in OpenAIRE • Altmetrics “donut” • Altmetrics API http://api.altmetric.com
- 8. OpenAIRE Usage Statistics Hub • •
- 9. OpenAIRE: A Usage Statistics Hub for Responsible Metrics • Quantitative indicators for research • Governance • Management • Assessment • Dimensions • Robust metrics in terms of accuracy and scope; • Humble metrics recognizing that quantitative evaluation should support qualitative, expert assessment; • Open and Transparent metrics; • Diverse metrics by field in order to support the plurality of research and researcher career paths across the system; • Reflexible metrics for recognizing, anticipating and updating the systemic and potential effects of indicators;