Other Titles

Planning the nursing education research network [Symposium]

Abstract

Session presented on Monday, November 9, 2015:

A collaborative Nursing Education Research Network provides a mechanism for gathering, storing, and using large a large data set on nursing education. Making this data (raw and aggregate) in the Network widely available to faculty, students, researchers and administrators provides a means for everyone to use the data to answer questions of interest. As well, access to a large and longitudinal dataset provides a way for doctoral students to conduct more rigorous studies because they can readily access and use a nationally representative dataset. This interactive session will provide an overview of web-based portal access to large data sets and participants will discuss key access and training needs.

Description

43rd Biennial Convention 2015 Theme: Serve Locally, Transform Regionally, Lead Globally.

Authors

Linda Flynn

Author Details

Linda Flynn, PhD, RN, FAAN

Sigma Membership

Alpha Kappa at-Large

Type

Presentation

Format Type

Text-based Document

Study Design/Type

N/A

Research Approach

N/A

Keywords:

Nursing Education Research, Public-Access Data

Conference Name

43rd Biennial Convention

Conference Host

Sigma Theta Tau International

Conference Location

Las Vegas, Nevada, USA

Conference Year

2015

Rights Holder

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Acquisition

Proxy-submission

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Democratizing data access via web-based portals

Las Vegas, Nevada, USA

Session presented on Monday, November 9, 2015:

A collaborative Nursing Education Research Network provides a mechanism for gathering, storing, and using large a large data set on nursing education. Making this data (raw and aggregate) in the Network widely available to faculty, students, researchers and administrators provides a means for everyone to use the data to answer questions of interest. As well, access to a large and longitudinal dataset provides a way for doctoral students to conduct more rigorous studies because they can readily access and use a nationally representative dataset. This interactive session will provide an overview of web-based portal access to large data sets and participants will discuss key access and training needs.