A Cross-domain Data Marketplace for Data Sharing

Argyro Mavrogiorgou, Vasileios Koukos, Eleftheria Kouremenou, Athanasios Kiourtis, Alexandros Raikos, George Manias, D. Kyriazis
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引用次数: 3

Abstract

In recent years, vast amounts of data are generated from a plethora of devices, systems, and platforms, covering a wide range of domains. This data increase generates the necessity to access a wide range of technical and technological resources enabling efficient and ready-to-use data analysis solutions, including resources for training and learning in addition to data infrastructure elements, as well as Artificial Intelligence (AI)/Machine Learning (ML) techniques. Current solutions are siloed, and instead of being structured, integrated, and openly accessible from a single-entry point, they still tend to be fragmented and proprietary. To address this gap, the concept of data marketplaces has been generated including a plethora of solutions, in the form of data assets, for offering an access point to the aforementioned services. Though, current data marketplaces lack of genericity since they are tailored and implemented under specific domains, not being able to fully offer a single-entry point towards interdisciplinary ready-to-use data management solutions and assets. This paper describes a cross-domain Data Marketplace, as a unified web-based platform that offers to its users various ready-to-use data management solutions, supporting different kinds of cross-sector assets including datasets, software components, data science notebooks, as well as multimedia content of software solutions among others. Moreover, it showcases how this Data Marketplace has been designed and specified based on existing marketplaces, while it demonstrates the way that its users are able to search and retrieve assets for resolving their business issues, or achieving some of their educational/research/personal goals.
面向数据共享的跨域数据市场
近年来,从过多的设备、系统和平台生成了大量数据,涵盖了广泛的领域。这种数据增长产生了访问广泛的技术和技术资源的必要性,从而实现高效和即用型数据分析解决方案,除了数据基础设施元素之外,还包括用于培训和学习的资源,以及人工智能(AI)/机器学习(ML)技术。当前的解决方案是孤立的,而不是结构化的、集成的和从单一入口点开放访问的,它们仍然倾向于分散和专有。为了解决这一差距,数据市场的概念已经产生,其中包括大量以数据资产形式提供上述服务访问点的解决方案。然而,目前的数据市场缺乏通用性,因为它们是在特定领域下定制和实现的,无法完全提供跨学科的即用型数据管理解决方案和资产的单一入口点。本文描述了一个跨领域的数据市场,作为一个统一的基于web的平台,为其用户提供各种现成的数据管理解决方案,支持不同类型的跨部门资产,包括数据集、软件组件、数据科学笔记本以及软件解决方案的多媒体内容等。此外,它还展示了这个数据市场是如何基于现有的市场设计和指定的,同时它还展示了它的用户能够搜索和检索资产的方式,以解决他们的业务问题,或实现他们的一些教育/研究/个人目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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