Question

谁来帮我翻译一下以下英文~

THE COLLECTION, STORAGE, AND MANAGEMENT of data about individuals and enterprises
in information systems are routine tasks in virtually all public or private organizations.
Businesses, public agencies, and nongovernmental organizations (NGOs) deal with
customers, suppliers, employees, partners, and so on, as well as with the data related
to these customers, citizens, individuals, or legal entities.
The potential of electronic information systems, however, and their opening to the
Internet have invoked more and more concerns and questions regarding privacy during
the last decades. Hiller and Belanger point out the following issues related to the
“online world”: faster and easier data collection, cross-referencing (aggregation), and
hidden data collection. We describe these issues in more depth below:
• Faster and easier data collection. More and more, data is generated or derived in
an electronic form that allows for easy loading and processing into databases.
• Cross-referencing (aggregation). Data about the same individual or business is
handled in a number of independent information systems. This data can be shared
and cross-referenced, or even merged, as might happen after organizational mergers,
for example. More often, the exchange and sharing of data between organizations
(within the private and public sector, or crossing this border) is necessary
in order to provide seamless, integrated business or governmental services.
• Hidden data collection. The collection of data without consent is technically easy
whenever this data is collected in electronic form, particularly on the Internet,
where many users are normally not familiar with technologies such as cookies
or the storage of connection parameters. Even if there is formal consent from
the user, typically by default approval of standard terms and conditions, the user
either does not thoroughly understand the consequences or has no alternative
other than to not use the service at all.
One could add several more issues regarding information systems that deal with
sensitive person-related data:
• Speed, (nearly) unlimited space, and advanced analytic technologies. Due to
the continuing price decline of computing power and storage capacity, and the
existence of advanced analytic processing technologies, such as data warehouse
systems , new and more complex evaluations and profiling of person-related
data can be carried out. The new quantity of data (both in terms of facts collected
and records stored) brings a new quality of privacy issues along with it.
It is technically feasible now, for example, to store and analyze connection data
of complete populations—and to relate it to other information sources.

Answer 1

收集、存储和管理的数据,个人和企业
在信息系统是常规任务几乎在所有公众或私人组织。
商业,公共机构和非政府组织(ngo)处理
顾客、供应商、员工、合作伙伴、等,以及与相关的资料
这些客户、公民、个人或法律实体。
电子信息系统的潜力,然而,他们的对外开放
互联网还引用越来越多的关注,关于隐私的期间
过去的几十年。Hiller霍丹群,指出以下相关问题
“网络世界”:更快和更容易数据采集,重新索引的小(集合),和
隐藏的数据采集。我们描述这些问题在更有深度的如下:
•更快和更容易数据采集。越来越多的数据或派生产生
一个电子表格,便于加载和加工成数据库。
•重新索引的小(集合。有关数据的同一个人或企业
在许多独立处理的信息系统。这些数据可共享
和相互参照,甚至合并,就像发生在组织合并,
为例。更多的是,交流及分享的数据组织之间
(在私人和公共领域,或跨越这条边界)是必要的
为了提供无缝、综合业务或政府服务。
•隐藏的数据采集。数据的收集未经同意在技术上是容易的
每当这个数据收集在电子形式,特别是在互联网上,
有许多用户通常不熟悉技术,如小甜饼吗
或贮存连接参数。即使有正式同意
用户,通常是通过默认的标准条款和条件批准,用户
既不彻底了解后果或者没有选择
除了不使用服务质量。
一个可以增加几个事项的信息系统,可以处理
person-related敏感数据:
•速度,(几乎)无限的空间,和先进的分析技术。由于
价格持续下降的计算能力和存储能力和
先进的分析处理技术的存在,比如数据仓库
系统、新和更复杂的person-related剖析和评价
数据能够得到贯彻执行。新的量数据(无论是在事实收集
存储的记录),出现了一个新的质量的隐私问题随着它。
现在它在技术上可行,例如,数据存储和分析连接
完整的populations-and联系到其他资讯来源。

Answer 2

收集、存储和管理的数据,个人和企业　　在信息系统是常规任务几乎在所有公众或私人组织。　　商业,公共机构和非政府组织(ngo)处理　　顾客、供应商、员工、合作伙伴、等,以及与相关的资料　　这些客户、公民、个人或法律实体。　　电子信息系统的潜力,然而,他们的对外开放　　互联网还引用越来越多的关注,关于隐私的期间　　过去的几十年。Hiller霍丹群,指出以下相关问题　　“网络世界”:更快和更容易数据采集,重新索引的小(集合),和　　隐藏的数据采集。我们描述这些问题在更有深度的如下: 　　•更快和更容易数据采集。越来越多的,数据生成

Answer 3

收集、存储和管理的数据,个人和企业
　　在信息系统是常规任务几乎在所有公众或私人组织。
　　商业,公共机构和非政府组织(ngo)处理
　　顾客、供应商、员工、合作伙伴、等,以及与相关的资料
　　这些客户、公民、个人或法律实体。
　　电子信息系统的潜力,然而,他们的对外开放
　　invok英特网