- Original issue
- Initial working document
- HDV metrics
- DV Metrics API
- Meeting notes
- Draft document
- Draft spreadsheet
- Draft presentation
- Draft diagram
Statistics to consolidate:
- https://dataverse.org/metrics |
- https://www.iq.harvard.edu/metrics |
- https://dataverse.harvard.edu/
- https://dataverse.org/installations
- https://iqss.github.io/dataverse-installations/charts.html
In this analysis, we will explore the discrepancies observed in the metrics reported by three prominent platforms: Dataverse.org, the Institute for Quantitative Social Science (IQSS) at Harvard University, and the Harvard Dataverse. By comparing the data presented on these sites, we aim to identify inconsistencies and understand their potential causes. This investigation will provide insights into the reliability and accuracy of the metrics, ultimately helping to improve data transparency and trustworthiness across these platforms. The result of this analysis will be the creation of the Dataverse Hub, a web application designed to consolidate these metrics into a unified and accessible format.
Website: https://dataverse.harvard.edu/
Source: GitHub - https://github.com/IQSS/dataverse.harvard.edu
Website: https://iqss.github.io/iqss-metrics-dashboard/
Source: GitHub - github.com/IQSS/iqss-metrics-dashboard
Source: GitHub - github.com/IQSS/iqss-metrics-backend
Website: https://metrics.dataverse.org/global/index.html Source: GitHub - github.com/IQSS/dataverse-metrics
The data found on metrics.dataverse.org is generated by a Python web application available at https://github.com/IQSS/dataverse-metrics. This application aggregates metrics from various Dataverse installations, providing insights into datasets, downloads, and user activity. It utilizes technologies such as Python, PostgreSQL, Apache Solr, and D3.js to collect, process, and visualize data.
Plataform: OpenScholar - dataverse.org/metrics
The metrics shown on dataverse.org/metrics should match the data available on metrics.dataverse.org. It’s important to note that dataverse.org/metrics is an OpenScholar website, and the information presented is merely an iframe.