Automated Organization ProfileUniversity of Virginia, Department of Public Health Sciences, Charlottesville VA USA
University of Virginia, Department of Public Health Sciences, Charlottesville VA USA
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The Evidence Graph ontology (EVI v1.0) extends core concepts from the W3C Provenance Ontology PROV-O to describe evidence for correctness of findings in biomedical publications. The semantic data model in EVI is expressed using OWL2 Web Ontology Language (OWL2). The core PROV ontology concepts used in EVI are Entity, Activity, and Agent, with two sub-classes Person and Organization. The object properties in EVI are used to establish relations among instances, most of which are of type DigitalObject. Computations are activities performed on instances of other DigitalObjects, Software or Services. The latest release of EVI is v1.0 that can be accessed here at https://w3id.org/EVI.
Authors
- AL MANIR, SADNAN ;
- Clark, Timothy
The Evidence Graph ontology (EVI v1.0) extends core concepts from the W3C Provenance Ontology PROV-O to describe evidence for correctness of findings in biomedical publications. The semantic data model in EVI is expressed using OWL2 Web Ontology Language (OWL2). The core PROV ontology concepts used in EVI are Entity, Activity, and Agent, with two sub-classes Person and Organization. The object properties in EVI are used to establish relations among instances, most of which are of type DigitalObject. Computations are activities performed on instances of other DigitalObjects, Software or Services. The latest release of EVI is v1.0 that can be accessed here at https://w3id.org/EVI.
Authors
- AL MANIR, SADNAN ;
- Clark, Timothy