一项关于数据经济数据技术分类学发展的研究
Hwasun You1, Do-Bum Chung1, Jangwon Choi1
1Korea Institute of Science and Technology Information (KISTI), Daejeon, South Korea.
PloS one
|June 26, 2025
概括
提出了一个新的数据技术分类法,以指导政策,商业和研发投资. 这种分类系统解决了缺乏标准化的数据技术框架,以系统地开发和执行.
科学领域:
- 信息科学 信息科学 信息科学
- 技术管理 技术管理
- 数据科学数据科学数据科学
背景情况:
- 加快的数据经济和数字化转型凸显了数据技术的关键重要性.
- 缺乏全面的数据技术分类学阻碍了系统的政策制定和研发投资.
- 现有的分类学有局限性,需要一个新的,验证的分类系统.
研究的目的:
- 为政策制定,商业规划和国家研发投资提出新的数据技术分类法.
- 定义数据技术的概念,并制定一个强大的分类系统.
- 通过专家评估和研发项目的分析来验证分类学的实用性.
主要方法:
- 定义数据技术的概念.
- 通过分析现有分类学的局限性来开发分类系统.
- 收集专家意见以确定分类的有效性.
- 进行专家充分性评估.
- 使用拟议的分类学对国家研发项目的分类.
主要成果:
- 一个经过验证的数据技术分类已经开发出来.
- 该分类学在现场的适用性通过专家评估来验证.
- 基于分类学的国家研发项目的分析提供了对当前景观的见解.
结论:
- 拟议的分类学为理解数据技术提供了一个结构化的方法.
- 它是改进数据政策制定和研发规划的宝贵工具.
- 该框架支持在不断发展的数据经济中做出知情决策.
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