ReTracker: Actively and Automatically Matching Retraction Metadata in Zotero
Author(s)
Cheng, Yi-Yun
Parulian, Nikolaus
Hsiao, Tzu-Kun
Dinh, Ly
Sarol, Maria Janina
Schneider, Jodi
Issue Date
2019
Keyword(s)
Retraction
Scholarly Communication
Publishing Ethics
Date of Ingest
2019-09-18T16:24:35Z
Abstract
Retraction removes seriously flawed papers from the scientific literature. However, even papers retracted for scientific fraud continue to be cited and used as valid after their retraction. Retracted papers are inadequately identified on publisher pages and in scholarly databases, and scholars’ personal libraries frequently contain retracted papers. To address this, we are developing a tool called ReTracker (https://github.com/nikolausn/ReTrackers) that automatically checks a user’s Zotero library for retracted articles, and adds retraction status as a new metadata field directly in the library. In this paper, we present the current version of ReTracker, which automatically flags retracted articles from PubMed. We describe how we have iteratively improved ReTracker’s matching performance through its initial two versions. Our tests show that the current version of ReTracker is able to flag retracted articles from PubMed with high precision and recall, and to distinguish retracted articles from articles about retraction. In its current state, ReTracker can actively and automatically bring retraction metadata into Zotero, and in future work we will test its usability with scholars.
Publisher
The Association for Information Science and Technology (ASIS&T)
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