Abstract
Past attempts to measure the quality of peer review have relied on either subjective ratings or tangentially related factors such as the sheer number or length of reviews. Previously, we introduced the Fair Attribution to Indexed Reports (FAIR) Metrics to quantify adherence to good citation practices via systematic semantic comparison of statements in the target document to those found in cited and uncited prior reports. In the present work, we define new FAIR Metrics for assessing the quality of peer review, extend the FAIR Metrics module of the PDP-DREAM Ontology with additional classes and properties needed to record FAIR Metrics analysis of a peer review, and demonstrate use with a simple example.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2024 IEEE 20th International Conference on e-Science (e-Science) |
| Publisher | IEEE |
| Number of pages | 2 |
| ISBN (Electronic) | 9798350365610 |
| ISBN (Print) | 9798350365627 |
| DOIs | |
| Publication status | Published - 16 Sept 2024 |
| Event | 20th IEEE International Conference on e-Science, e-Science 2024 - Osaka, Japan Duration: 16 Sept 2024 → 20 Sept 2024 https://ieeexplore.ieee.org/xpl/conhome/10677510/proceeding |
Publication series
| Name | Proceedings - IEEE International Conference on e-Science |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2325-372X |
| ISSN (Electronic) | 2325-3703 |
Conference
| Conference | 20th IEEE International Conference on e-Science, e-Science 2024 |
|---|---|
| Country/Territory | Japan |
| City | Osaka |
| Period | 16/09/24 → 20/09/24 |
| Internet address |
User-Defined Keywords
- Bibliometrics
- ethics and integrity
- peer review
- scholarly research
- scientific publishing
- semantic web