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ResearchIQ: Design of a Semantically Anchored Integrative Query Tool

An important factor influencing the pace of research activity is the ability of researchers to discover and leverage heterogeneous resources. Usually, researcher profiles, laboratory equipment, data samples, clinical trials, and other research resources are stored in heterogeneous datasets in large...

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Detalles Bibliográficos
Autores principales: Lele, Omkar, Raje, Satyajeet, Yen, Po-Yin, Payne, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525255/
https://www.ncbi.nlm.nih.gov/pubmed/26306248
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author Lele, Omkar
Raje, Satyajeet
Yen, Po-Yin
Payne, Philip
author_facet Lele, Omkar
Raje, Satyajeet
Yen, Po-Yin
Payne, Philip
author_sort Lele, Omkar
collection PubMed
description An important factor influencing the pace of research activity is the ability of researchers to discover and leverage heterogeneous resources. Usually, researcher profiles, laboratory equipment, data samples, clinical trials, and other research resources are stored in heterogeneous datasets in large organizations. Emergent semantic web technologies provide novel approaches to discover, annotate and consequently link such resources. In this manuscript, we describe the design of Research Integrative Query (ResearchIQ) tool, a semantically anchored resource discovery platform that facilitates semantic discovery of local and publically available data through a single web portal designed for researchers in the biomedical informatics domain within The Ohio State University.
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spelling pubmed-45252552015-08-24 ResearchIQ: Design of a Semantically Anchored Integrative Query Tool Lele, Omkar Raje, Satyajeet Yen, Po-Yin Payne, Philip AMIA Jt Summits Transl Sci Proc Articles An important factor influencing the pace of research activity is the ability of researchers to discover and leverage heterogeneous resources. Usually, researcher profiles, laboratory equipment, data samples, clinical trials, and other research resources are stored in heterogeneous datasets in large organizations. Emergent semantic web technologies provide novel approaches to discover, annotate and consequently link such resources. In this manuscript, we describe the design of Research Integrative Query (ResearchIQ) tool, a semantically anchored resource discovery platform that facilitates semantic discovery of local and publically available data through a single web portal designed for researchers in the biomedical informatics domain within The Ohio State University. American Medical Informatics Association 2015-03-25 /pmc/articles/PMC4525255/ /pubmed/26306248 Text en ©2015 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Lele, Omkar
Raje, Satyajeet
Yen, Po-Yin
Payne, Philip
ResearchIQ: Design of a Semantically Anchored Integrative Query Tool
title ResearchIQ: Design of a Semantically Anchored Integrative Query Tool
title_full ResearchIQ: Design of a Semantically Anchored Integrative Query Tool
title_fullStr ResearchIQ: Design of a Semantically Anchored Integrative Query Tool
title_full_unstemmed ResearchIQ: Design of a Semantically Anchored Integrative Query Tool
title_short ResearchIQ: Design of a Semantically Anchored Integrative Query Tool
title_sort researchiq: design of a semantically anchored integrative query tool
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525255/
https://www.ncbi.nlm.nih.gov/pubmed/26306248
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