Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

TEEDA: An Interactive Platform for Matching Data Providers and Users in Data Marketplace

Version 1 : Received: 16 March 2020 / Approved: 17 March 2020 / Online: 17 March 2020 (04:10:28 CET)

A peer-reviewed article of this Preprint also exists.

Hayashi, T.; Ohsawa, Y. TEEDA: An Interactive Platform for Matching Data Providers and Users in the Data Marketplace. Information 2020, 11, 218. Hayashi, T.; Ohsawa, Y. TEEDA: An Interactive Platform for Matching Data Providers and Users in the Data Marketplace. Information 2020, 11, 218.

Journal reference: Information 2020, 11, 218
DOI: 10.3390/info11040218

Abstract

Improvements in web platforms for data exchange and trading are creating more opportunities for users to obtain data from data providers of different domains. However, the current data exchange platforms are limited to unilateral information provision from data providers to users. In contrast, there are insufficient means for data providers to learn what kinds of data users desire and for what purposes. In this paper, we propose and discuss the description items for sharing users’ call for data as data requests in the data marketplace. We also discuss structural differences in data requests and providable data using variables, as well as possibilities of data matching. In the study, we developed an interactive platform, treasuring every encounter of data affairs (TEEDA), to facilitate matching and interactions between data providers and users. The basic features of TEEDA are described in this paper. From experiments, we found the same distributions of the frequency of variables but different distributions of the number of variables in each piece of data, which are important factors to consider in the discussion of data matching in the data marketplace.

Subject Areas

matching; data marketplace; data platform; data visualization; call for data

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