{"title":"制定跨境数据流动的风险指数","authors":"Jin Li , Wanting Dong , Chong Zhang , Zihan Zhuo","doi":"10.1016/j.dsm.2022.05.003","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666764922000224/pdfft?md5=310c5e0c23fd9c0c5dba956bc32eb179&pid=1-s2.0-S2666764922000224-main.pdf","citationCount":"8","resultStr":"{\"title\":\"Development of a risk index for cross-border data movement\",\"authors\":\"Jin Li , Wanting Dong , Chong Zhang , Zihan Zhuo\",\"doi\":\"10.1016/j.dsm.2022.05.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":100353,\"journal\":{\"name\":\"Data Science and Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666764922000224/pdfft?md5=310c5e0c23fd9c0c5dba956bc32eb179&pid=1-s2.0-S2666764922000224-main.pdf\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data Science and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666764922000224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Science and Management","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666764922000224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of a risk index for cross-border data movement
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.