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Title:ReTracker: Actively and Automatically Matching Retraction Metadata in Zotero
Author(s):Cheng, Yi-Yun; Parulian, Nikolaus; Hsiao, Tzu-Kun; Dinh, Ly; Sarol, Janina; Schneider, Jodi
Subject(s):Retraction
Scholarly Communication
Publishing Ethics
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.
Issue Date:2019
Publisher:The Association for Information Science and Technology (ASIS&T)
Citation Info:Cheng, Y.-Y., Parulien, N., Hsiao, T.-K., Dinh, L., Sarol, J., & Scneider, J. (2019). ReTracker: Actively and Automatically Matching Retraction Metadata in Zotero. To appear in Proceedings of the ASIS&T 2019 Annual Meeting, Melbourne, Australia, October 19-23.
Genre:Conference Paper / Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/105432
Date Available in IDEALS:2019-09-18


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