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A knowledge graph to understand nursing big data: case example for guidance

Hussey, Pamela orcid logoORCID: 0000-0003-2840-9361, Das, Subhashis orcid logoORCID: 0000-0001-9663-9009, Farrell, Sharon, Ledger, Lorraine and Spencer, Anne (2021) A knowledge graph to understand nursing big data: case example for guidance. A Knowledge Graph to Understand Nursing Big Data: Case Example for Guidance*, 53 (3). pp. 323-332. ISSN 1547-5069

Abstract
This was a co-participatory study focusing on adoption of health informatics standards and translation of nursing knowledge to advance nursing theory through a nursing knowledge graph (NKG). In this article we outline groundwork research conducted through a focused analysis to advance structural interoperability and to inform integrated care in Ireland. We provide illustrated details on a simple example of initial research available through open access.
Metadata
Item Type:Article (Published)
Refereed:Yes
Additional Information:Additional supporting information may be found in the online version of this article at the publisher’s web site: Supplementary Material
Uncontrolled Keywords:Intellectual disability; Knowledge graph; Ontology
Subjects:Computer Science > Artificial intelligence
Computer Science > Computer engineering
Computer Science > Information technology
Computer Science > Software engineering
Medical Sciences > Health
Medical Sciences > Nursing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Nursing, Psychotherapy & Community Health
Publisher:Wiley
Official URL:https://dx.doi.org/10.1111/jnu.12650
Copyright Information:© 2021 Sigma Theta Tau International. Open Access
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska‐Curie grant agreement No. 801522,, Science Foundation Ireland and co‐funded by the European Regional Development Fund through the ADAPT Centre for Digital Content Technology grant number 13/RC/2106,, DAVRA NETWORKS. Grant Number: 801522
ID Code:25884
Deposited On:25 May 2021 09:34 by Sharon Farrell . Last Modified 07 Jul 2021 10:30
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