Example Evaluations of Plagiarism Cases Using FAIR Metrics and the PDP-DREAM Ontology

Adam Craig, Anousha Athreya, Carl Taswell

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

4 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023
PublisherIEEE
Number of pages2
ISBN (Electronic)9798350322231
ISBN (Print)9798350322248
DOIs
Publication statusPublished - 9 Oct 2023
Event19th IEEE International Conference on e-Science, e-Science 2023 - Limassol, Cyprus
Duration: 9 Oct 202314 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

NameProceedings of IEEE International Conference on e-Science
PublisherIEEE
ISSN (Print)2325-372X
ISSN (Electronic)2325-3703

Conference

Conference19th IEEE International Conference on e-Science, e-Science 2023
Country/TerritoryCyprus
CityLimassol
Period9/10/2314/10/23
Internet address

User-Defined Keywords

  • bibliometrics
  • citation analysis
  • knowledge engineering
  • plagiarism
  • semantic web

Fingerprint

Dive into the research topics of 'Example Evaluations of Plagiarism Cases Using FAIR Metrics and the PDP-DREAM Ontology'. Together they form a unique fingerprint.

Cite this