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Data Deidentification for Data Sharing in Educational and Psychological Research: Importance, Barriers, and
Jeffrey A Shero1, Alexis E Swanz1, Allyson L Hanson1
1Vanderbilt University, Department of Special Education.
This study addresses data sharing in research, detailing methods for deidentifying sensitive information to overcome privacy concerns. It provides practical techniques to facilitate open science and address the replication crisis.
Area of Science:
- Educational Research
- Psychological Research
- Open Science
Background:
- Historical context of data sharing.
- The current open science movement.
- The replication crisis in research.
Purpose of the Study:
- Discuss the importance of data sharing in educational and psychological research.
- Explore barriers to data sharing, focusing on data deidentification.
- Present techniques for data deidentification and provide recommendations.
Main Methods:
- Review historical data sharing practices.
- Analyze barriers to data sharing, including privacy concerns.
- Detail non-perturbative and perturbative data deidentification methods.
Main Results:
- Highlight the critical role of data deidentification for secure data sharing.
- Recommend specific deidentification techniques for various variable types.
- Developed an interactive tutorial for implementing deidentification methods.
Conclusions:
- Emphasize the importance of data sharing for scientific advancement.
- Provide practical solutions for deidentifying research data.
- Promote the adoption of open science practices through accessible tools.
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