Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/1237
Title: The Hércules Semantic University Research Data project
Authors: Hernández Mora Martínez, Reyes 
Keywords: research information management;current research information systems;semantic interoperability;national CRIS network;Hércules project;Universidad de Murcia;Spain
Issue Date: 20-Nov-2019
Publisher: euroCRIS
Series/Report no.: Autumn 2019 euroCRIS Strategic Membership Meeting (WWU Münster, Germany, Nov 18-20, 2019)
Conference: Strategic Membership Meeting 2019 – Autumn (Münster) 
Abstract: 
The University of Murcia (hereinafter UM) signed on November 29, 2017, a Covenant with the Ministry of Economy, Industry and Competitiveness backing the HÉRCULES Semantic University Research Data Project with a budget of FIVE MILLION FOUR HUNDRED AND SIXTY-TWO THOUSAND SIX HUNDRED euros with an 80% of cofinancing from the European Regional Development Fund program (ERDF) within the 2014-2020 period.

The purpose is the improvement of public services and business innovation through the Public Procurement of Innovation.

Thus, the University has launched the HÉRCULES Semantic University Research Data project, intended to create a Research Management System (RMS) based on semantic open data, that will provide a global view of the research data contained herein the Spanish University System (SUS), in order to improve management, analysis and boost synergies between universities and the general public.

The project has been constituted encompassing high research and development, appointing on Web Semantics (WS) to blend in the data and homogenize the information and knowledge staged within the SUS. The SUS will apply the Web Semantics approach in order to ensure the representation, distribution and adoption of the research information available.

This will trigger the execution of many R&D efforts, related to inherent problems yet to be solved in Web Semantics, resulting from the previous existence of different nodes of information that should be interoperable, even when the data is not labelled nor described with the same terminologies. The developments would allow information mining related to research, which is not available within the nodes of the network, but on the Internet.

Ensuring the data quality (consistency, harmony, controlled redundancy and purpose) in this network is suggested as an indispensable and mandatory objective for its relevance, since it is a project that the CRUE university group must benefit from.
Description: 
21 slides.-- Presentation delivered within the "Emerging CRIS infrastructure" session
URI: http://hdl.handle.net/11366/1237
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