大数据视域下的技术风险

发布时间：2018-05-18 04:26

本文选题：大数据 + 技术　；参考：《延安大学》2017年硕士论文

【摘要】：作为社会发展的重要动力,科学技术在给人类带来丰富物质财富的同时,也产生巨大的技术风险。技术风险是人类为了满足自身需求,运用能够反映客观规律的知识体系创造财富和改造世界过程中可能出现的不良影响。大数据是科学技术发展的重要表现,随着大数据时代的来临,数据风险越来越引起人们的关注。所谓大数据是指需要新处理模式才能具有更强的决策力、洞察力和流程优化能力的海量、高增长率和多样化的信息资产。大数据具有4个显著特点,即容量(volume)、多样性(variety)、速度(velocity)和价值(value)(1)。大数据发展中,由于数据的来源失真、数据采集失实、数据存储失控、数据管理失效和数据应用失序等原因,由此产生大量技术风险。为有效规避大数据发展中的技术风险,必须树立风险意识,遵守数据伦理,不断提升数据素养;加强制度建设,加快立法步伐,强化政府和企业数据保护合作,依法保护数据所有者、管理人员和用户数据合法权益;不断提升技术水平,进一步规范数据收集、贮存和使用,提高管理水平;搭建合作平台,适应全球化潮流,加强各领域的合作与交流,有效规避风险;做好大数据社会保障方案的顶层设计,建立大数据时代的技术风险预警机制,不断弱化技术风险危害。
[Abstract]:As an important driving force of social development, science and technology not only bring rich material wealth to human beings, but also produce huge technological risks. Technological risk is the adverse influence that may occur in the process of creating wealth and transforming the world by using the knowledge system which can reflect the objective law in order to meet the needs of human beings. Big data is an important manifestation of the development of science and technology. With the advent of the era of big data, data risk has attracted more and more attention. The so-called big data refers to the massive, high growth rate and diversified information assets that require a new processing model to have greater decision-making power, insight and process optimization capabilities. Big data has four remarkable characteristics, namely, capacity volume, diversity, velocity and value. In the development of big data, there are a lot of technical risks due to the data source distortion, data acquisition mismatch, data storage out of control, data management failure and data application disorder. In order to effectively avoid the technical risk in the development of big data, we must set up risk awareness, abide by data ethics, constantly improve data literacy, strengthen the system construction, accelerate the pace of legislation, and strengthen the cooperation between government and enterprise in data protection. To protect the legitimate rights and interests of data owners, managers and users in accordance with the law; to continuously upgrade the technical level, further standardize the collection, storage and use of data, and improve the level of management; and build a cooperative platform to adapt to the trend of globalization, Strengthen the cooperation and exchange in various fields, effectively avoid risks, do a good job of the top level design of big data social security scheme, establish the early warning mechanism of technical risk in the big data era, and constantly weaken the technical risk hazards.
【学位授予单位】：延安大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：B022

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