| 李满海,辛向阳.数据的价值层次和设计模式[J].包装工程,2019,40(2):134-137. |
| 数据的价值层次和设计模式 |
| The Value Hierarchy and Design Mode of Data |
| 投稿时间：2018-09-15 修订日期：2019-01-20 |
| DOI：10.19554/j.cnki.1001-3563.2019.02.023 |
| 中文关键词: 数据 大数据 设计 价值 用户生成内容 |
| 英文关键词: data big data design value UGC(User-Generated Content) |
| 基金项目: |
|
| 摘要点击次数: |
| 全文下载次数: |
| 中文摘要: |
| 目的 对数据产生价值的过程进行分析，探讨将数据当作设计对象的研究范式。方法 以数据驱动型企业的案例为基础，通过归纳总结进行分类研究，对采集、处理和应用3个数据加工环节如何产生价值进行案例说明。结果 得出数据用于发现和解决问题的CIC通用模式，以及数据用于重新定义问题的CIC双环模式，提出不同数据加工方式和用途会产生不一样的数据价值；并且提出数据价值根据CIC复杂度可以分为4个层次，数据价值层次越高，数据产生的价值越大。结论 随着互联网和大数据技术的发展，用户生成内容让数据有新陈代谢的能力，用户参与让数据的生产和消费同时进行，数据越用越有价值；在大数据时代，数据不仅仅用于发现和解决问题，其更大价值还体现在重新定义问题上。 |
| 英文摘要: |
| The work aims to analyze the process of generating the value of data, and explore the research paradigm with data as the design object. Based on the cases of data-driven enterprises, a classification study was conducted through induction and summary, and how the three data processing links like collecting, interpreting and contextualizing generated value was illustrated. The CIC common model used by data for discovering and solving problems and the CIC double-loop model used by data for redefining problems were obtained. It was proposed that different data values could be generated with different data processing methods and uses. Moreover, the data value could be divided into four levels according to CIC complexity. The higher the level of data value, the greater the value generated by data. With the development of Internet and big data technology, the UGC(User-Generated Content) enables data to have the ability of metabolism. Users’ participation facilitates the production and consumption of data at the same time. The more frequently used the data, the more valuable they are. In the era of big data, data are not only used to discover and solve problems, but also have greater value in redefining problems. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
