The challenge of OwnData service features: A step towards an informed choice of an OwnData service

J. Frecè
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引用次数: 0

Abstract

The goal of this paper is to raise awareness to the fact that the choice of data storage system is an increasingly significant one to make and to propose a number of dimensions to categorize such systems in a simple yet meaningful way. Many data subjects already use some kind of data service to store their messages, pictures, music, videos, etc. and in the light of increasing data production and a growing number of databased services, this trend is expected to continue. Advancing from storing pop songs to storing personal health or geo-location data, however, requires data subjects to get themselves acquainted with the quality features of data storage providers, should they wish to make an informed decision. The introduction chapter explores the consequences of the GDPR implementation in the European Union regarding the expectations towards storage of personal data, while the subsequent chapter explains the labeling decisions in this paper. The two ensuing chapters present the quality criteria for data storage widely used in contemporary reviews and completes them with additional dimensions advocated for by the author. In a final step, a quick assessment of popular data storage providers is made, using the discussed dimensions, to demonstrate the categorical imbalance in the data storage provider community.
OwnData服务特性的挑战:向OwnData服务的明智选择迈出了一步
本文的目的是提高人们对数据存储系统的选择越来越重要这一事实的认识,并提出了一些维度,以一种简单而有意义的方式对这些系统进行分类。许多数据主体已经在使用某种数据服务来存储他们的信息、图片、音乐、视频等,随着数据产量的增加和数据库服务的增加,这一趋势预计将持续下去。然而,从存储流行歌曲发展到存储个人健康或地理位置数据,需要数据主体了解数据存储提供商的质量特征,如果他们希望做出明智的决定。导论章探讨了欧盟实施GDPR对个人数据存储的期望的后果,而随后的章节解释了本文中的标签决定。随后的两章提出了当代评论中广泛使用的数据存储的质量标准,并以作者所提倡的额外维度完成了这些标准。在最后一步中,使用所讨论的维度对流行的数据存储提供商进行快速评估,以证明数据存储提供商社区中的分类不平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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