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A platform for the analysis of qualitative and quantitative data about the built environment and its users

Lookup NU author(s): Dr Mike Simpson, Dr Simon Woodman, Dr Hugo Hiden, Stephen Dowsland, Mark Turner, Professor Paul Watson

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Abstract

© 2017 IEEE. There are many scenarios in which it is necessary to collect data from multiple sources in order to evaluate a system, including the collection of both quantitative data - from sensors and smart devices - and qualitative data - such as observations and interview results. However, there are currently very few systems that enable both of these data types to be combined in such a way that they can be analysed side-by-side. This paper describes an end-to-end system for the collection, analysis, storage and visualisation of qualitative and quantitative data, developed using the e-Science Central cloud analytics platform. We describe the experience of developing the system, based on a case study that involved collecting data about the built environment and its users. In this case study, data is collected from older adults living in residential care. Sensors were placed throughout the care home and smart devices were issued to the residents. This sensor data is uploaded to the analytics platform and the processed results are stored in a data warehouse, where it is integrated with qualitative data collected by healthcare and architecture researchers. Visualisations are also presented which were intended to allow the data to be explored and for potential correlations between the quantitative and qualitative data to be investigated.


Publication metadata

Author(s): Simpson M, Woodman S, Hiden H, Stein S, Dowsland S, Turner M, Hanson VL, Watson P

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Proceedings - 13th IEEE International Conference on eScience, eScience 2017

Year of Conference: 2017

Pages: 228-237

Online publication date: 16/11/2017

Acceptance date: 02/04/2016

Publisher: Institute of Electrical and Electronics Engineers Inc.

URL: https://doi.org/10.1109/eScience.2017.36

DOI: 10.1109/eScience.2017.36

Notes: 9781538626870 print ISBN.

Library holdings: Search Newcastle University Library for this item

ISBN: 9781538626863


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