Loading

Open Science Cyber-Infrastructure Framework for Next Generation Disaster Analytics
Nurfadhlina Mohd Sharef1, Deden Witarsyah Jacob2, Masaharu Hayashi3

1Nurfadhlina Mohd Sharef, Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, UPM Serdang, Selangor, Malaysia.

2Deden Witarsyah Jacob, Department of Information Systems, School of Industrial Engineering, Telkom University, Bandung, Indonesiya.

3Masaharu Hayashi, Department of Science and Data Platform, National Institute of Informatics Chiyoda Ward, Japan.

Manuscript received on 05 June 2019 | Revised Manuscript received on 12 June 2019 | Manuscript Published on 19 June 2019 | PP: 149-160 | Volume-8 Issue-8S June 2019 | Retrieval Number: H10270688S19/19©BEIESP

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The open science movement is gaining popularity due to the stability of data storage and network technologies besides the availability of open data portal in many countries. However, a case study that focuses on the requirement and design of the cyber-infrastructure for open science is limited. This paper reports the assessment of existing infrastructure for disaster information management as an open science activity based on the Sendai Framework. A framework that combines the open data quality and the next generation repository system requirements based on a case study on the flood and forest fire management in Malaysia and Indonesia is proposed. This paper fills the gap between the focus on open data framework and the next generation repository system based on the requirements from a recent international collaboration on climate research studies.

Keywords: Open Science, Next Generation Repository System, Open Data, Disaster Analytics.
Scope of the Article: Data Analytics