Data for Post-retraction citation: A review of scholarly research on the spread of retracted science

Data for Post-retraction citation: A review of scholarly research on the spread of retracted science
Schneider, Jodi; Das, Susmita; Léveillé, Jacqueline; Proescholdt, Randi
Contact: Jodi Schneider [email protected] & [email protected]

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OVERVIEW
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This dataset provides further analysis for an ongoing literature review about post-retraction citation.
This ongoing work extends a poster presented as:
Jodi Schneider, Jacqueline Léveillé, Randi Proescholdt, Susmita Das, and The RISRS Team. Characterization of Publications on Post-Retraction Citation of Retracted Articles. Presented at the Ninth International Congress on Peer Review and Scientific Publication, September 8-10, 2022 hybrid in Chicago. https://hdl.handle.net/2142/114477 (now also in https://peerreviewcongress.org/abstract/characterization-of-publications-on-post-retraction-citation-of-retracted-articles/ )
Items as of the poster version are listed in the bibliography 92-PRC-items.pdf.

Note that following the poster, we made several changes to the dataset (see changes-since-PRC-poster.txt). For both the poster dataset and the current dataset, 5 items have 2 categories (see 5-items-have-2-categories.txt).

Articles were selected from the Empirical Retraction Lit bibliography (https://infoqualitylab.org/projects/risrs2020/bibliography/ and https://doi.org/10.5281/zenodo.5498474 ). The current dataset includes 92 items; 91 items were selected from the 386 total items in Empirical Retraction Lit bibliography version v.2.15.0 (July 2021); 1 item was added because it is the final form publication of a grouping of 2 items from the bibliography: Yang (2022) Do retraction practices work effectively? Evidence from citations of psychological retracted articles http://doi.org/10.1177/01655515221097623

Items were classified into 7 topics; 2 of the 7 topics have been analyzed to date.

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OVERVIEW OF ANALYSIS
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DATA ANALYZED:
2 of the 7 topics have been analyzed to date:

field-based case studies (n = 20)
author-focused case studies of 1 or several authors with many retracted publications (n = 15)


FUTURE DATA TO BE ANALYZED, NOT YET COVERED:
5 of the 7 topics have not yet been analyzed as of this release:
database-focused analyses (n = 33)
paper-focused case studies of 1 to 125 selected papers (n = 15)
studies of retracted publications cited in review literature (n = 8)
geographic case studies (n = 4)
studies selecting retracted publications by method (n = 2)

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FILE LISTING
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BIBLIOGRAPHY
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92-PRC-items.pdf

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TEXT FILES
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README.txt
5-items-have-2-categories.txt
changes-since-PRC-poster.txt

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CODEBOOKS
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Codebook for authors.docx
Codebook for authors.pdf
Codebook for field.docx
Codebook for field.pdf
Codebook for KEY.docx
Codebook for KEY.pdf

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SPREADSHEETS
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field.csv
field.xlsx
multipleauthors.csv
multipleauthors.xlsx
multipleauthors-not-named.csv
multipleauthors-not-named.xlsx
singleauthors.csv
singleauthors.xlsx


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DESCRIPTION OF FILE TYPES
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BIBLIOGRAPHY (92-PRC-items.pdf) presents the items, as of the poster version. This has minor differences from the current data set. Consult changes-since-PRC-poster.txt for details on the differences.

TEXT FILES provide notes for additional context. These files end in .txt.

CODEBOOKS describe the data we collected. The same data is provided in both Word (.docx) and PDF format.

There is one general codebook that is referred to in the other codebooks: Codebook for KEY lists fields assigned (e.g., for a journal or conference). Note that this is distinct from the overall analysis in the Empirical Retraction Lit bibliography of fields analyzed; for that analysis see Proescholdt, Randi (2021): RISRS Retraction Review - Field Variation Data. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2070560_V1

Other codebooks document specific information we entered on each column of a spreadsheet.


SPREADSHEETS present the data collected. The same data is provided in both Excel (.xlsx) and CSV format.

Each data row describes a publication or item (e.g., thesis, poster, preprint).
For column header explainations, see the associated codebook.

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DETAILS ON THE SPREADSHEETS
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field-based case studies
CODEBOOK: Codebook for field
--REFERS TO: Codebook for KEY
DATA SHEET: field
REFERS TO: Codebook for KEY
--NUMBER OF DATA ROWS: 20 NOTE: Each data row describes a publication/item.
--NUMBER OF PUBLICATION GROUPINGS: 17
--GROUPED PUBLICATIONS: Rubbo (2019) - 2 items, Yang (2022) - 3 items

author-focused case studies of 1 or several authors with many retracted publications
CODEBOOK: Codebook for authors
--REFERS TO: Codebook for KEY
DATA SHEET 1: singleauthors (n = 9)
--NUMBER OF DATA ROWS: 9
--NUMBER OF PUBLICATION GROUPINGS: 9
DATA SHEET 2: multipleauthors (n = 5
--NUMBER OF DATA ROWS: 5
--NUMBER OF PUBLICATION GROUPINGS: 5
DATA SHEET 3: multipleauthors-not-named (n = 1)
--NUMBER OF DATA ROWS: 1
--NUMBER OF PUBLICATION GROUPINGS: 1

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CRediT <http://credit.niso.org>
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Susmita Das: Conceptualization, Data curation, Investigation, Methodology
Jaqueline Léveillé: Data curation, Investigation
Randi Proescholdt: Conceptualization, Data curation, Investigation, Methodology
Jodi Schneider: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Supervision