Linked Data Research Management System

Abdolreza hajmoosaei, Rodrigo de Oliveira Costa, John Arthur Graham

Abstract

Various educational institutes around the world are currently engaging in opening up their research data to other organizations as well as ensuring it is available to the public. Educational institutes typically use research management systems (RMSs) to manage their research material. An RMS can support researchers in producing new research by providing access to material that presently exists in the system. The Wellington Institute of Technology (WelTec) is an educational institute in New Zealand that actively produces academic output. WelTec however currently uses an outdated RMS which lacks features that provide access to their research output by external stakeholders and it also does not illustrate connections and relationships between its content. WelTec research data is maintained in a private, traditional database repository and it only provides access to managers and to those who are directly involved in accumulating and studying research data pertaining to their particular project. In order for WelTec research output to be accessible and shareable to the widest possible audience it needs to be made available in a standard, non-proprietary format that is both human readable and machine consumable. This paper focuses on the infrastructure requirements of opening up research data and proposes a system architecture designed to ensure that Weltec research material is easily accessible by external stakeholders in a scalable way. The proposed system uses technologies and standards that embodies the new generation of World Wide Web (WWW): Linked Data.

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Paper Citation


in Harvard Style

hajmoosaei A., Costa R. and Graham J. (2017). Linked Data Research Management System.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-272-1, pages 183-188. DOI: 10.5220/0006498301830188


in Bibtex Style

@conference{keod17,
author={Abdolreza hajmoosaei and Rodrigo de Oliveira Costa and John Arthur Graham},
title={Linked Data Research Management System},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2017},
pages={183-188},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006498301830188},
isbn={978-989-758-272-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Linked Data Research Management System
SN - 978-989-758-272-1
AU - hajmoosaei A.
AU - Costa R.
AU - Graham J.
PY - 2017
SP - 183
EP - 188
DO - 10.5220/0006498301830188