摘要
与通常的商品市场一样,数据市场中流通的数据商品也分为标准产品和非标准产品两大类。目前,市场中有效流通的数据产品是音乐、图片、电影等标准数据产品,而一般意义上的、大规模的大数据流通则遇到了诸多障碍,其中一个障碍就是数据产品的计量计价问题,需要设计一个可计量的标准数据产品形态。基于数据盒模型,设计了一种数据产品的基础标准形态,称之为盒装数据。一个盒装数据产品包括盒内数据、盒外包装两部分,其中,盒内数据是指“时间+空间+内容”三维度的数据立方体组织,一般包括图像、图形、视频、音频、文本、结构化数据等多种数据类型;盒外包装包括产品登记证书,以及产品说明书、质量证书、合规证书等内容。盒装数据旨在为数据要素市场提供一个可计量计价的标准数据产品形态。
Same as those usual product markets,data products circulating in a data market can be categorized into standard products and non-standard products.Currently,standardized data products such as music,images and video clips are effectively circulating in the market,while large-scale big data product in a broad sense is facing numerous circulation obstacles.One such obstacle is the measurement and valuation of data products,which requires a measurable standard data product form to solve.On the basis of the data box model,BoxedData was proposed,as a standard form of data products.A data product that adopts the form of BoxedData consists of two parts,which are inbox data and packing materials.Inbox data refers to the cubic data structure with three dimensions of time,space and content,which generally includes images,shapes,videos,sound,text,structured data and other types of data.Packing materials includes product registration certificate,product instructions,product quality certificate,product compliance certificate and other documents.BoxedData aims to provide data factor market with a standard data product form which is measurable and evaluable.
作者
叶雅珍
朱扬勇
YE Yazhen;ZHU Yangyong(School of Computer Science,Fudan University,Shanghai 200438,China;Shanghai Key Laboratory of Data Science,Shanghai 200438,China)
出处
《大数据》
2022年第3期15-25,共11页
Big Data Research
