2.50
Hdl Handle:
http://hdl.handle.net/10755/157746
Type:
Presentation
Title:
Data Visualization in the Use of a Large Dataset
Abstract:
Data Visualization in the Use of a Large Dataset
Conference Sponsor:Western Institute of Nursing
Conference Year:2009
Author:Hastings-Tolsma, Marie, PhD, CNM
P.I. Institution Name:University of Colorado Denver, College of Nursing
Title:Associate Professor
Contact Address:Mail Stop C288-18, 13120 E. 19th Avenue, Room 4315, P.O. Box 6511, Aurora, CO, 80045, USA
Contact Telephone:303-724-8543
Co-Authors:Deborah Vincent, PhD, APRN, FAANP, Associate Professor
Purpose/Background: Nurse researchers are increasingly likely to utilize large datasets in the examination of health care outcomes. Analysis and presentation of findings can be undertaken in a variety of ways. One experimental strategy, data mining, is a particularly useful means of assimilating data from a large data set. A significant challenge, however, is how to present findings in a more powerful fashion. An area that is receiving increased attention is data visualization. Visualization has the potential to reach beyond finding data patterns. Rather, data visualization can present information in a way that can engage others in understanding complex processes. This synthesis between creative design and information visualization has the potential to foster increased data comprehension and utilization. Data Visualization: Data were gathered related to the prenatal, intrapartal, postpartal, and neonatal care of 510 patients receiving care with a large nurse midwifery service. Data were systematically collected on 88 variables and data mining was subsequently undertaken to determine significant relationships. Following a conventional approach to visualizing the data (graphs, charts), the data were then re-examined to present findings using infosthetics (Vande Moere, 2007) - the beauty of data visualization where form follows the data. Data visualization invents new visual metaphors for presenting data and new ways to manipulate these metaphors to make sense of the information in ways not before appreciated. Basic considerations in the data visualization of the dataset are presented, including available software that aestheticize information processing. Information architecture and information design are briefly discussed, as is the need for collaborative analysis and visualization among researchers. Applications: Data visualization allows for networking more clearly and effectively with other researchers through graphical means that possess both aesthetics and functionality. There can be downsides to data visualization but improved software makes it possible for nurse researchers to gain additional insight into a dataset that might otherwise have been less apparent.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Western Institute of Nursing

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleData Visualization in the Use of a Large Dataseten_GB
dc.identifier.urihttp://hdl.handle.net/10755/157746-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Data Visualization in the Use of a Large Dataset</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Western Institute of Nursing</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2009</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Hastings-Tolsma, Marie, PhD, CNM</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Colorado Denver, College of Nursing</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Associate Professor</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">Mail Stop C288-18, 13120 E. 19th Avenue, Room 4315, P.O. Box 6511, Aurora, CO, 80045, USA</td></tr><tr class="item-phone"><td class="label">Contact Telephone:</td><td class="value">303-724-8543</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">Marie.Hastings-Tolsma@ucdenver.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Deborah Vincent, PhD, APRN, FAANP, Associate Professor</td></tr><tr><td colspan="2" class="item-abstract">Purpose/Background: Nurse researchers are increasingly likely to utilize large datasets in the examination of health care outcomes. Analysis and presentation of findings can be undertaken in a variety of ways. One experimental strategy, data mining, is a particularly useful means of assimilating data from a large data set. A significant challenge, however, is how to present findings in a more powerful fashion. An area that is receiving increased attention is data visualization. Visualization has the potential to reach beyond finding data patterns. Rather, data visualization can present information in a way that can engage others in understanding complex processes. This synthesis between creative design and information visualization has the potential to foster increased data comprehension and utilization. Data Visualization: Data were gathered related to the prenatal, intrapartal, postpartal, and neonatal care of 510 patients receiving care with a large nurse midwifery service. Data were systematically collected on 88 variables and data mining was subsequently undertaken to determine significant relationships. Following a conventional approach to visualizing the data (graphs, charts), the data were then re-examined to present findings using infosthetics (Vande Moere, 2007) - the beauty of data visualization where form follows the data. Data visualization invents new visual metaphors for presenting data and new ways to manipulate these metaphors to make sense of the information in ways not before appreciated. Basic considerations in the data visualization of the dataset are presented, including available software that aestheticize information processing. Information architecture and information design are briefly discussed, as is the need for collaborative analysis and visualization among researchers. Applications: Data visualization allows for networking more clearly and effectively with other researchers through graphical means that possess both aesthetics and functionality. There can be downsides to data visualization but improved software makes it possible for nurse researchers to gain additional insight into a dataset that might otherwise have been less apparent.</td></tr></table>en_GB
dc.date.available2011-10-26T20:09:53Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T20:09:53Z-
dc.description.sponsorshipWestern Institute of Nursingen_GB
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