Statistics Corner: FAIR Data Sharing

JOURNAL TITLE: Journal of Postgraduate Medicine, Education and Research

Author
1. Rakesh Kapoor
2. Kamal Kishore
ISSN
2277-8969
DOI
10.5005/jp-journals-10028-1351
Volume
54
Issue
1
Publishing Year
2020
Pages
2
Author Affiliations
1. com.mps.common.model.Contributor@76346f95 ,
2. com.mps.common.model.Contributor@55b0129c
Article keywords
Data anonymization, Data cycle, Data sharing, De-identification, FAIR principle

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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