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A big data sharing methodology with data description and data browsing
Citation
Kim, HJ and Yeom, SJ and Cha, KJ, A big data sharing methodology with data description and data browsing, Information, 21, (1) pp. 359-369. ISSN 1343-4500 (2018) [Refereed Article]
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Copyright Statement
Copyright 2018 International Information Institute
Official URL: http://www.information-iii.org/introduction.html
Abstract
Various open-data portals and platfonns are available across different countries with individual
issues for sharing big data. In spite of efforts by government and companies to promote data sharing, data utilization remains limited; most datasets still remain un-accessible and unusable. The absence of universal guidelines in regard to data sharing and its accessible levels are partial causes. We introduce DataCon and the platform Data Browsing Portal, jointly aimed at increasing data availability, promotion of an effective data sharing method, and creation of reliable data market spaces with an easy and visible interface.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | Big data, data sharing, data browsing portal |
| Research Division: | Information and Computing Sciences |
| Research Group: | Data management and data science |
| Research Field: | Data engineering and data science |
| Objective Division: | Information and Communication Services |
| Objective Group: | Information services |
| Objective Field: | Information services not elsewhere classified |
| UTAS Author: | Yeom, SJ (Dr Soonja Yeom) |
| ID Code: | 126296 |
| Year Published: | 2018 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2018-06-04 |
| Last Modified: | 2019-06-12 |
| Downloads: | 0 |
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