Please use this identifier to cite or link to this item:
Title: Strasbourg IHU Knowledge base: a CERIF implementation
Authors: Rémy, Laurent 
Brasse, Valérie 
Keywords: research data;knowledge base;CERIF;Strasbourg Institut Hospitalo-Universitaire (IHU)
Issue Date: 11-Jun-2016
Publisher: euroCRIS
Source: "Communicating and Measuring Research Responsibly: Profiling, Metrics, Impact, Interoperability": Proceedings of the 13th International Conference on Current Research Information Systems (2016)
Procedia Computer Science 106: 212-219 (2017)
Series/Report no.: CRIS2016: 13th International Conference on Current Research Information Systems (St Andrews, June 9-11, 2016)
Conference: CRIS2016 – St Andrews 
Nowadays, aggregating data seems the easiest thing to do. Big data is a popular concept that everyone wants to be part of. Connected objects flood the Internet with huge amounts of data. Even in research organizations, each person aggregates data at her/his own personal level. Complexity comes with the categorization of this amount of knowledge, at this level. For an organisation, complexity can also be increased when talking about sharing this knowledge among people or services.

Strasbourg IHU is an organisation which field of activity concerns image-guided minimally invasive surgery. This organisation is involved in innovation through partnerships with companies in their field. Many people in this organisation aggregate and produce data. They found they have problems capitalising on these data that are poorly shared across the organisation. So they started a project to create a platform to help knowledge sharing, and enhance this knowledge by getting relevant news concerning their specific fields.

This document will first give us an overview of the stakeholders and a description of the objectives of the project, and of the different steps of the analysis. A focus will then be done on the use of CERIF in the implementation of the platform, for one of its module. A third part will talk about the two other modules that are part of the platform, and we will close the document with some perspective for the future.
Delivered at the CRIS2016 Conference in St Andrews; published in Procedia Computer Science 106 (Mar 2017).-- Contains conference paper (6 pages) and presentation (17 slides).
Appears in Collections:Conference

Files in This Item:
File Description SizeFormat
CRIS2016_paper_37_Rémy.pdfpost-print version1.33 MBAdobe PDFView/Open
laurentRemy_StrasbourgIHUKnowledgeBase_aCerifImplementation.pdfPDF presentation1.56 MBAdobe PDFView/Open
Show full item record

Page view(s) 20

Last Week
Last month
checked on Sep 18, 2021

Download(s) 20

checked on Sep 18, 2021

Google ScholarTM



Items in DSpace are offered under a CC-BY 4.0 licence unless otherwise indicated