Data Deidentification for Data Sharing in Educational and Psychological Research: Importance, Barriers, and Techniques Article Swipe

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Jeffrey Shero , Alexis Swanz , Allyson Hanson , Sara A. Hart , Jessica A. R. Logan ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.31234/osf.io/jgd9c

In this manuscript, we discuss the importance of data sharing in educational and psychological research, emphasizing the historical context of data sharing, the current open science movement, and the so-called replication crisis. We additionally explore the barriers to data sharing, particularly the fear of incorrectly deidentifying data or accidentally including private information. We then highlight the importance of deidentifying data for data sharing. Finally, we present specific techniques for data deidentification, namely non-perturbative and perturbative methods, and make recommendations for which techniques are relevant for specific types of variables. To assist readers in implementing the material from this study, we have additionally created an interactive tutorial as a Shiny web application, which is publicly available and free to use.

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Data sharing Psychological research Research data Psychology Applied psychology Data science Computer science Social psychology Medicine Data curation Pathology Alternative medicine

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Type: preprint
Language: en
Landing Page: https://doi.org/10.31234/osf.io/jgd9c
OA Status: gold
Cited By: 1
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DOI: https://doi.org/10.31234/osf.io/jgd9c

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Title: Data Deidentification for Data Sharing in Educational and Psychological Research: Importance, Barriers, and Techniques

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Type: preprint

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Language: en

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Publication year: 2024

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Publication date: 2024-07-19

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Authors: Jeffrey Shero, Alexis Swanz, Allyson Hanson, Sara A. Hart, Jessica A. R. Logan

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Landing page: https://doi.org/10.31234/osf.io/jgd9c

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Open access: Yes

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OA status: gold

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OA URL: https://doi.org/10.31234/osf.io/jgd9c

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Concepts: Data sharing, Psychological research, Research data, Psychology, Applied psychology, Data science, Computer science, Social psychology, Medicine, Data curation, Pathology, Alternative medicine

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Cited by: 1

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