{"title":"GENERAL DATA PROTECTION REGULATION IMPLEMENTATION IN HIGHER EDUCATION INSTITUTIONS","authors":"Aurimas Šidlauskas, Tadas Limba","doi":"10.21125/EDULEARN.2019.0555","DOIUrl":null,"url":null,"abstract":"The General Data Protection Regulation, more commonly known as “GDPR”, is a regulation in the European Union law implemented since the 25th of May, 2018. It aims to increase data protection for EU citizens and individuals within the European Economic Area and simplify international regulations by unifying the European system. The GDPR is a law that protects the personal information of all EU citizens, regardless of where their personal information is located and stored. The GDPR aims to give EU citizens greater protection and control of their personal information. Regulation coverage extends to all organizations – whether or not they have physical EU footprints – that control or process the personal information of EU citizens. Many higher education institutions are gaining international students at a high rate throughout their various online education programs. If any portion of your online educations student base is made up of EU citizens, you will want to ensure that you have GDPR compliance plans in place. The scientific problem, GDPR leaves much to interpretation and higher education institutions unaware of how to implement GDPR requirements. The main purpose of this article is to provide an action plan to help higher education institutions implement GDPR requirements. Tasks: 1 Identify the key aspects that GDPR should have on conceptual impact on data protection law. 2 Describe the challenges faced by higher education institutions in implementing the GDPR. 3 Provide a GDPR implementation model. In this scientific article, methods of document analysis, scientific literature review, case study and generalization are used.","PeriodicalId":414865,"journal":{"name":"EDULEARN19 Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EDULEARN19 Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21125/EDULEARN.2019.0555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
The General Data Protection Regulation, more commonly known as “GDPR”, is a regulation in the European Union law implemented since the 25th of May, 2018. It aims to increase data protection for EU citizens and individuals within the European Economic Area and simplify international regulations by unifying the European system. The GDPR is a law that protects the personal information of all EU citizens, regardless of where their personal information is located and stored. The GDPR aims to give EU citizens greater protection and control of their personal information. Regulation coverage extends to all organizations – whether or not they have physical EU footprints – that control or process the personal information of EU citizens. Many higher education institutions are gaining international students at a high rate throughout their various online education programs. If any portion of your online educations student base is made up of EU citizens, you will want to ensure that you have GDPR compliance plans in place. The scientific problem, GDPR leaves much to interpretation and higher education institutions unaware of how to implement GDPR requirements. The main purpose of this article is to provide an action plan to help higher education institutions implement GDPR requirements. Tasks: 1 Identify the key aspects that GDPR should have on conceptual impact on data protection law. 2 Describe the challenges faced by higher education institutions in implementing the GDPR. 3 Provide a GDPR implementation model. In this scientific article, methods of document analysis, scientific literature review, case study and generalization are used.