Revisiting Sensemaking: The case of the Digital Decision Network Application (DigitalDNA)

During this age of data proliferation, heavy reliance is placed on data visualisation to support users in making sense of vast quantities of information. Informational Dashboards have become the must have accoutrement for Higher Education institutions with various stakeholders jostling for developme...

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Autores principales: Elizabeth Archer, Glen Barnes
Formato: article
Lenguaje:EN
Publicado: Athabasca University Press 2017
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Acceso en línea:https://doaj.org/article/f362639560a642d9864c5a9632eff221
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spelling oai:doaj.org-article:f362639560a642d9864c5a9632eff2212021-12-02T17:15:37ZRevisiting Sensemaking: The case of the Digital Decision Network Application (DigitalDNA)10.19173/irrodl.v18i5.25511492-3831https://doaj.org/article/f362639560a642d9864c5a9632eff2212017-08-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/2551https://doaj.org/toc/1492-3831During this age of data proliferation, heavy reliance is placed on data visualisation to support users in making sense of vast quantities of information. Informational Dashboards have become the must have accoutrement for Higher Education institutions with various stakeholders jostling for development priority. Due to the time pressure and user demands, the focus of development process is often on designing for each stakeholder and the visual and navigational aspects. Dashboards are designed to make data visually appealing and easy to relate and understand; unfortunately this may mask data issues and create an impression of rigour where it is not justified. This article proposes that the underlying logic behind current dashboard development is limited in the flexibility, scalability, and responsiveness required in the demanding landscape of Big Data and Analytics and explores an alternative approach to data visualisation and sense making. It suggests that the first step required to address these issues is the development of an enriched database which integrates key indicators from various data sources. The database is designed for problem exploration allowing users freedom in navigating between various data-levels, which can then be overlaid with any user interface for dashboard generation for a multitude of stakeholders. Dashboards merely become tools providing users and indication of types of data available for exploration. A Design Research approach is shown, along with a case study to illustrate the benefits, showcasing various views developed for diverse stakeholders employing this approach, specifically the the Digital Decision Network Application (DigitalDNA) employed at Unisa. Elizabeth ArcherGlen BarnesAthabasca University Pressarticledashbnoardsbig datamanagement information systemsdata-useSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 18, Iss 5 (2017)
institution DOAJ
collection DOAJ
language EN
topic dashbnoards
big data
management information systems
data-use
Special aspects of education
LC8-6691
spellingShingle dashbnoards
big data
management information systems
data-use
Special aspects of education
LC8-6691
Elizabeth Archer
Glen Barnes
Revisiting Sensemaking: The case of the Digital Decision Network Application (DigitalDNA)
description During this age of data proliferation, heavy reliance is placed on data visualisation to support users in making sense of vast quantities of information. Informational Dashboards have become the must have accoutrement for Higher Education institutions with various stakeholders jostling for development priority. Due to the time pressure and user demands, the focus of development process is often on designing for each stakeholder and the visual and navigational aspects. Dashboards are designed to make data visually appealing and easy to relate and understand; unfortunately this may mask data issues and create an impression of rigour where it is not justified. This article proposes that the underlying logic behind current dashboard development is limited in the flexibility, scalability, and responsiveness required in the demanding landscape of Big Data and Analytics and explores an alternative approach to data visualisation and sense making. It suggests that the first step required to address these issues is the development of an enriched database which integrates key indicators from various data sources. The database is designed for problem exploration allowing users freedom in navigating between various data-levels, which can then be overlaid with any user interface for dashboard generation for a multitude of stakeholders. Dashboards merely become tools providing users and indication of types of data available for exploration. A Design Research approach is shown, along with a case study to illustrate the benefits, showcasing various views developed for diverse stakeholders employing this approach, specifically the the Digital Decision Network Application (DigitalDNA) employed at Unisa.
format article
author Elizabeth Archer
Glen Barnes
author_facet Elizabeth Archer
Glen Barnes
author_sort Elizabeth Archer
title Revisiting Sensemaking: The case of the Digital Decision Network Application (DigitalDNA)
title_short Revisiting Sensemaking: The case of the Digital Decision Network Application (DigitalDNA)
title_full Revisiting Sensemaking: The case of the Digital Decision Network Application (DigitalDNA)
title_fullStr Revisiting Sensemaking: The case of the Digital Decision Network Application (DigitalDNA)
title_full_unstemmed Revisiting Sensemaking: The case of the Digital Decision Network Application (DigitalDNA)
title_sort revisiting sensemaking: the case of the digital decision network application (digitaldna)
publisher Athabasca University Press
publishDate 2017
url https://doaj.org/article/f362639560a642d9864c5a9632eff221
work_keys_str_mv AT elizabetharcher revisitingsensemakingthecaseofthedigitaldecisionnetworkapplicationdigitaldna
AT glenbarnes revisitingsensemakingthecaseofthedigitaldecisionnetworkapplicationdigitaldna
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