Back to Search Start Over

Development of a risk index for cross-border data movement

Authors :
Jin Li
Wanting Dong
Chong Zhang
Zihan Zhuo
Source :
Data Science and Management, Vol 5, Iss 3, Pp 97-104 (2022)
Publication Year :
2022
Publisher :
KeAi Communications Co. Ltd., 2022.

Abstract

Cross-border data transmission in the biomedical area is on the rise, which brings potential risks and management challenges to data security, biosafety, and national security. Focusing on cross-border data security assessment and risk management, many countries have successively issued relevant laws, regulations, and assessment guidelines. This study aims to provide an index system model and management application reference for the risk assessment of the cross-border data movement. From the perspective of a single organization, the relevant risk assessment standards of several countries are integrated to guide the identification and determination of risk factors. Then, the risk assessment index system of cross-border data flow is constructed. A case study of risk assessment in 358 biomedical organizations is carried out, and the suggestions for data management are offered. This study is condusive to improving security monitoring and the early warning of the cross-border data flow, thereby realizing the safe and orderly global flow of biomedical data.

Details

Language :
English
ISSN :
26667649
Volume :
5
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Data Science and Management
Publication Type :
Academic Journal
Accession number :
edsdoj.3bcff58b821b4967b63f1a38c57ab7e3
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dsm.2022.05.003