Abstract
The FAIR Metrics, with acronym FAIR for Fair Acknowledgment of Information Records and Fair Attribution to Indexed Reports, measure how appropriately a document cites prior literature. We demonstrate use of a novel workflow for manual evaluation of the FAIR Metrics on five example publications, three of which were retracted for plagiarism. We recorded results of the analyses in Nexus-PORTAL-DOORS-Scribe (NPDS) records as an open access data set for continuing development of automated plagiarism detection tools.
Original language | English |
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Title of host publication | Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023 |
Publisher | IEEE |
Number of pages | 2 |
ISBN (Electronic) | 9798350322231 |
ISBN (Print) | 9798350322248 |
DOIs | |
Publication status | Published - 9 Oct 2023 |
Event | 19th IEEE International Conference on e-Science, e-Science 2023 - Limassol, Cyprus Duration: 9 Oct 2023 → 14 Oct 2023 https://ieeexplore.ieee.org/xpl/conhome/10254737/proceeding (Conference proceedings) https://www.escience-conference.org/2023/ (conference website) https://www.escience-conference.org/2023/timetable (conference program) |
Publication series
Name | Proceedings of IEEE International Conference on e-Science |
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Publisher | IEEE |
ISSN (Print) | 2325-372X |
ISSN (Electronic) | 2325-3703 |
Conference
Conference | 19th IEEE International Conference on e-Science, e-Science 2023 |
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Country/Territory | Cyprus |
City | Limassol |
Period | 9/10/23 → 14/10/23 |
Internet address |
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User-Defined Keywords
- bibliometrics
- citation analysis
- knowledge engineering
- plagiarism
- semantic web