TEEDA: An Interactive Platform for Matching Data Providers and Users in the Data Marketplace
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...
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doaj-c5a99a8506184440b43b966bdc1190ad2020-11-25T02:01:56ZengMDPI AGInformation2078-24892020-04-011121821810.3390/info11040218TEEDA: An Interactive Platform for Matching Data Providers and Users in the Data MarketplaceTeruaki Hayashi0Yukio Ohsawa1Department of Systems Innovation, School of Engineering, The University of Tokyo, Tokyo 113-8656, JapanDepartment of Systems Innovation, School of Engineering, The University of Tokyo, Tokyo 113-8656, JapanImprovements 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’ calls 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, named “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.https://www.mdpi.com/2078-2489/11/4/218matchingdata marketplacedata platformdata visualizationcall for data |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Teruaki Hayashi Yukio Ohsawa |
spellingShingle |
Teruaki Hayashi Yukio Ohsawa TEEDA: An Interactive Platform for Matching Data Providers and Users in the Data Marketplace Information matching data marketplace data platform data visualization call for data |
author_facet |
Teruaki Hayashi Yukio Ohsawa |
author_sort |
Teruaki Hayashi |
title |
TEEDA: An Interactive Platform for Matching Data Providers and Users in the Data Marketplace |
title_short |
TEEDA: An Interactive Platform for Matching Data Providers and Users in the Data Marketplace |
title_full |
TEEDA: An Interactive Platform for Matching Data Providers and Users in the Data Marketplace |
title_fullStr |
TEEDA: An Interactive Platform for Matching Data Providers and Users in the Data Marketplace |
title_full_unstemmed |
TEEDA: An Interactive Platform for Matching Data Providers and Users in the Data Marketplace |
title_sort |
teeda: an interactive platform for matching data providers and users in the data marketplace |
publisher |
MDPI AG |
series |
Information |
issn |
2078-2489 |
publishDate |
2020-04-01 |
description |
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’ calls 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, named “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. |
topic |
matching data marketplace data platform data visualization call for data |
url |
https://www.mdpi.com/2078-2489/11/4/218 |
work_keys_str_mv |
AT teruakihayashi teedaaninteractiveplatformformatchingdataprovidersandusersinthedatamarketplace AT yukioohsawa teedaaninteractiveplatformformatchingdataprovidersandusersinthedatamarketplace |
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