Journal of Postgraduate Medicine, Education and Research

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VOLUME 54 , ISSUE 1 ( January-March, 2020 ) > List of Articles

BIOSTATISTICS SERIES

Statistics Corner: FAIR Data Sharing

Rakesh Kapoor

Keywords : Data anonymization, Data cycle, Data sharing, De-identification, FAIR principle

Citation Information : Kapoor R. Statistics Corner: FAIR Data Sharing. J Postgrad Med Edu Res 2020; 54 (1):17-19.

DOI: 10.5005/jp-journals-10028-1351

License: CC BY-NC 4.0

Published Online: 00-03-2020

Copyright Statement:  Copyright © 2020; Jaypee Brothers Medical Publishers (P) Ltd.


Abstract

Reality check Data is the foundation of research and vice versa. The replication and verification of study findings are hallmarks of scientific research. Therefore, there is increasing thrust by the scientific fraternity to share data openly. The sharing of data is one problem. However, preparing shareable data without compromising study characteristics is another. Therefore, data sharing is challenging and not widespread despite increasing thrust. In the context of data sharing, the investigator needs to know: • What are the various phases in a typical data cycle? • What are the challenges in each phase of the data cycle? • What are the requirements of the data anonymization process? • What are the consequences of the Personal Data Protection Bill (PDP Bill, 2019) on the researcher?


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