Distinguishing Retracted Publications from Retraction Notices in Crossref Data

Si, Luyang; Salami, Malik Oyewale; Schneider, Jodi

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https://hdl.handle.net/2142/125134 Copy

Description

Title

Distinguishing Retracted Publications from Retraction Notices in Crossref Data

Author(s)

• Si, Luyang
• Salami, Malik Oyewale
• Schneider, Jodi

Issue Date

2024-11-06

Keyword(s)

• Data Quality
• Retraction
• Retraction Labeling
• Retraction Status
• Retraction Indexing
• RISRS

Abstract

To avoid citing retracted papers, researchers need to be able to determine which papers are retracted. However, this is difficult because databases have significant discrepancies: one in five articles was indexed as both retracted and not retracted, across Crossref, Retraction Watch, Scopus, and Web of Science, according to our prior work. One of the reasons for these discrepancies is the misindexing of DOIs, especially retraction notices and corrigenda. Here we investigate the most significant discrepancy: 9,937 DOIs that Crossref, but no other source, indexed as retracted publications – meaning that many are likely not retracted at all. Our prior work made pattern-based predictions that labeled each DOI as 'likely_retracted ' and 'likely_retraction ' based on phrases such as retracted, [retracted], retraction, correction, and correction to (which we call “retraction status patterns”) found at the beginning or end of the title, or as the full title. In this work, we test how reliable our pattern-based predic

Has Part

• https://doi.org/10.55835/6441e5cae04dbe5586d06a5f
• https://doi.org/10.13012/B2IDB-8847584_V2
• https://zenodo.org/records/8336538
• https://hdl.handle.net/2142/125231

Type of Resource

text

Language

eng

Sponsor(s)/Grant Number(s)

• Alfred P. Sloan Foundation G-2022-19409
• U.S. National Science Foundation 2046454

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