开放数据政府的价值:一种质量评估方法

G. Maestre-Góngora, Adriana Rangel-Carrillo, Mariutsi-Alexandra Osorio-Sanabria
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引用次数: 2

摘要

数据质量涉及一组迭代构建的特征、值和表达式。开放政府数据(OGD)在数量、速度、准确性和价值方面与大数据共享,实现利益相关者重用的目的尤为突出。本研究使用文献综述来确定大数据、开放数据、数据质量和价值之间的关系。我们得出的结论是,OGD是一种最近的趋势,它鼓励合作和公民参与,并能够重用数据来追求公共和私人创新。确保数据质量可以从重复使用中获得价值,并产生经济价值、商业价值、社会价值和公共价值。消费者在使用公共信息之前需要坚实的信任基础,这需要一个数据质量保证过程,以加强和强化数据的内在价值,并在不同的背景下激活其潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The value of open data government: a quality assessment approach
Data quality involves a set of characteristics, values, and expressions that are built iteratively. Open government data (OGD) shares the qualities of Big Data regarding volume, speed, accuracy, and value, and the purpose of achieving stakeholders’ reuse stands out. This study uses a bibliographic review to identify the relationships among big data, open data, data quality, and value. We conclude that OGD, a recent trend, encourages collaboration and citizen participation and enables reusing data to pursue public and private innovation. Ensuring data quality makes it possible to obtain value from its reuse and generate Economic Value, Commercial Value, Social Value, and Public Value. Consumers require a solid basis of trust before using public information, which requires a data quality assurance process that strengthens and intensifies the inherent value of the data and activates its potential in different contexts.
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