宋 娀.从“大数据”到“智能数据”——剖析德国国家智能数据创新实验室的定位和模式[J].全球科技经济瞭望,2015,30(4):10~16 |
从“大数据”到“智能数据”——剖析德国国家智能数据创新实验室的定位和模式 |
From Big Data to Smart Data: In Case of Smart Data Innovation Lab of Germany |
投稿时间:2015-04-01 |
DOI:10.3772/j.issn.1009-8623.2015.04.003 |
中文关键词: 德国;大数据;智能数据;创新实验室 |
英文关键词: Germany;big data;smart data;innovation lab |
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摘要点击次数: 3067 |
全文下载次数: 2008 |
中文摘要: |
面对全球范围的“大数据之争”,德国具备信息技术产业及市场快速增长、信息技术服务业和软件业世界领先、传统制造业数字化基础良好等优势条件,亦有明显的结构性缺陷。为落实“数字变革战略”,实施“数字议程”,提升德国在大数据领域的核心竞争力,德国联邦政府联合科技界和产业界代表,启动了全新的国家尖端研究平台——“智能数据创新实验室”,提出“智能数据”创新理念,通过推动产学研合作,对大数据进行进阶的智能化处理,以抢占未来的战略发展高地。本文对该平台的定位和模式进行了剖析,供国内有关部门参考。 |
英文摘要: |
In the face of the global big data competition, Germany is characterized with the advantages of rapid growth of IT industry and IT market, world’s leading IT services and software industry and a thorough grounding for the digitalization of traditional manufacturing industry, but there are obvious structural defects in it. To implement the ICT Strategies of the German Federal Government “Digital Germany 2015” and “Digital Agenda”, and to enhance Germany’s core competitiveness in the field of big data, the German federal government launched a new national platform for cutting-edge research — “Smart Data Innovation Lab”(SDIL) in the support of research and industry representatives. With “Smart Data” as an innovative concept proposed, SDIL aims at promoting the cooperation between industry, academy and research, developing an advanced intelligent processing of big data, and grabbing the anticipated opportunity. This report analyzes the definition and the elements of the SDIL- model. |
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