Curating Complex, Dynamic and Distributed Data: Telehealth as a Laboratory for Strategy

Telehealth monitoring data is now being collected across large populations of patients with chronic diseases such as stroke, hypertension, COPD and dementia. These large, complex and heterogeneous datasets, including distributed sensor and mobile datasets, present real opportunities for knowledge di...

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Main Authors: Jenny Ure, Tasneem Irshad, Janet Hanley, Angus Whyte, Claudia Pagliari, Hilary Pinnock, Brian McKinstry
Format: Article
Language:English
Published: University of Edinburgh 2011-10-01
Series:International Journal of Digital Curation
Online Access:http://www.ijdc.net/index.php/ijdc/article/view/187
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spelling doaj-a2e12ac63ebb4aa5bfc7b010d61e3fd02020-11-25T00:59:57ZengUniversity of EdinburghInternational Journal of Digital Curation1746-82562011-10-016212814510.2218/ijdc.v6i2.207190Curating Complex, Dynamic and Distributed Data: Telehealth as a Laboratory for StrategyJenny UreTasneem IrshadJanet HanleyAngus WhyteClaudia PagliariHilary PinnockBrian McKinstryTelehealth monitoring data is now being collected across large populations of patients with chronic diseases such as stroke, hypertension, COPD and dementia. These large, complex and heterogeneous datasets, including distributed sensor and mobile datasets, present real opportunities for knowledge discovery and re-use, however they also generate new challenges for curation. This paper uses qualitative research with stakeholders in two nationally-funded telehealth projects to outline the perceptions, practices and preferences of different stakeholders with regard to data curation. Telehealth provides a living laboratory for the very different challenges implicit in designing and managing data infrastructure for embedded and ubiquitous computing. Here, technical and human agents are distributed, and interaction and state change is a central component of design, rather than an inconvenient challenge to it. The authors argue that there are lessons to be learned from other domains where data infrastructure has been radically rethought to address these challenges.http://www.ijdc.net/index.php/ijdc/article/view/187
collection DOAJ
language English
format Article
sources DOAJ
author Jenny Ure
Tasneem Irshad
Janet Hanley
Angus Whyte
Claudia Pagliari
Hilary Pinnock
Brian McKinstry
spellingShingle Jenny Ure
Tasneem Irshad
Janet Hanley
Angus Whyte
Claudia Pagliari
Hilary Pinnock
Brian McKinstry
Curating Complex, Dynamic and Distributed Data: Telehealth as a Laboratory for Strategy
International Journal of Digital Curation
author_facet Jenny Ure
Tasneem Irshad
Janet Hanley
Angus Whyte
Claudia Pagliari
Hilary Pinnock
Brian McKinstry
author_sort Jenny Ure
title Curating Complex, Dynamic and Distributed Data: Telehealth as a Laboratory for Strategy
title_short Curating Complex, Dynamic and Distributed Data: Telehealth as a Laboratory for Strategy
title_full Curating Complex, Dynamic and Distributed Data: Telehealth as a Laboratory for Strategy
title_fullStr Curating Complex, Dynamic and Distributed Data: Telehealth as a Laboratory for Strategy
title_full_unstemmed Curating Complex, Dynamic and Distributed Data: Telehealth as a Laboratory for Strategy
title_sort curating complex, dynamic and distributed data: telehealth as a laboratory for strategy
publisher University of Edinburgh
series International Journal of Digital Curation
issn 1746-8256
publishDate 2011-10-01
description Telehealth monitoring data is now being collected across large populations of patients with chronic diseases such as stroke, hypertension, COPD and dementia. These large, complex and heterogeneous datasets, including distributed sensor and mobile datasets, present real opportunities for knowledge discovery and re-use, however they also generate new challenges for curation. This paper uses qualitative research with stakeholders in two nationally-funded telehealth projects to outline the perceptions, practices and preferences of different stakeholders with regard to data curation. Telehealth provides a living laboratory for the very different challenges implicit in designing and managing data infrastructure for embedded and ubiquitous computing. Here, technical and human agents are distributed, and interaction and state change is a central component of design, rather than an inconvenient challenge to it. The authors argue that there are lessons to be learned from other domains where data infrastructure has been radically rethought to address these challenges.
url http://www.ijdc.net/index.php/ijdc/article/view/187
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