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- Publisher Website: 10.3390/ijerph13101015
- Scopus: eid_2-s2.0-84991694214
- PMID: 27763525
- WOS: WOS:000389570100082
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Article: The need for a definition of big data for nursing science: A case study of disaster preparedness
Title | The need for a definition of big data for nursing science: A case study of disaster preparedness |
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Authors | |
Keywords | Big data Research method Disaster preparedness |
Issue Date | 2016 |
Citation | International Journal of Environmental Research and Public Health, 2016, v. 13, n. 10 How to Cite? |
Abstract | © 2016 by the author; licensee MDPI, Basel, Switzerland. The rapid development of technology has made enormous volumes of data available and achievable anytime and anywhere around the world. Data scientists call this change a data era and have introduced the term â Big Dataâ , which has drawn the attention of nursing scholars. Nevertheless, the concept of Big Data is quite fuzzy and there is no agreement on its definition among researchers of different disciplines. Without a clear consensus on this issue, nursing scholars who are relatively new to the concept may consider Big Data to be merely a dataset of a bigger size. Having a suitable definition for nurse researchers in their context of research and practice is essential for the advancement of nursing research. In view of the need for a better understanding on what Big Data is, the aim in this paper is to explore and discuss the concept. Furthermore, an example of a Big Data research study on disaster nursing preparedness involving six million patient records is used for discussion. The example demonstrates that a Big Data analysis can be conducted from many more perspectives than would be possible in traditional sampling, and is superior to traditional sampling. Experience gained from the process of using Big Data in this study will shed light on future opportunities for conducting evidence-based nursing research to achieve competence in disaster nursing. |
Persistent Identifier | http://hdl.handle.net/10722/251182 |
ISSN | 2019 Impact Factor: 2.849 2023 SCImago Journal Rankings: 0.808 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wong, Ho Ting | - |
dc.contributor.author | Chiang, Vico Chung Lim | - |
dc.contributor.author | Choi, Kup Sze | - |
dc.contributor.author | Loke, Alice Yuen | - |
dc.date.accessioned | 2018-02-01T01:54:50Z | - |
dc.date.available | 2018-02-01T01:54:50Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | International Journal of Environmental Research and Public Health, 2016, v. 13, n. 10 | - |
dc.identifier.issn | 1661-7827 | - |
dc.identifier.uri | http://hdl.handle.net/10722/251182 | - |
dc.description.abstract | © 2016 by the author; licensee MDPI, Basel, Switzerland. The rapid development of technology has made enormous volumes of data available and achievable anytime and anywhere around the world. Data scientists call this change a data era and have introduced the term â Big Dataâ , which has drawn the attention of nursing scholars. Nevertheless, the concept of Big Data is quite fuzzy and there is no agreement on its definition among researchers of different disciplines. Without a clear consensus on this issue, nursing scholars who are relatively new to the concept may consider Big Data to be merely a dataset of a bigger size. Having a suitable definition for nurse researchers in their context of research and practice is essential for the advancement of nursing research. In view of the need for a better understanding on what Big Data is, the aim in this paper is to explore and discuss the concept. Furthermore, an example of a Big Data research study on disaster nursing preparedness involving six million patient records is used for discussion. The example demonstrates that a Big Data analysis can be conducted from many more perspectives than would be possible in traditional sampling, and is superior to traditional sampling. Experience gained from the process of using Big Data in this study will shed light on future opportunities for conducting evidence-based nursing research to achieve competence in disaster nursing. | - |
dc.language | eng | - |
dc.relation.ispartof | International Journal of Environmental Research and Public Health | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Big data | - |
dc.subject | Research method | - |
dc.subject | Disaster preparedness | - |
dc.title | The need for a definition of big data for nursing science: A case study of disaster preparedness | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3390/ijerph13101015 | - |
dc.identifier.pmid | 27763525 | - |
dc.identifier.scopus | eid_2-s2.0-84991694214 | - |
dc.identifier.volume | 13 | - |
dc.identifier.issue | 10 | - |
dc.identifier.spage | null | - |
dc.identifier.epage | null | - |
dc.identifier.eissn | 1660-4601 | - |
dc.identifier.isi | WOS:000389570100082 | - |
dc.identifier.issnl | 1660-4601 | - |