Visualisation of trust and quality information for geospatial dataset selection and use:Drawing trust presentation comparisons with B2C e-Commerce


The evaluation of geospatial data quality and trustworthiness presents a major challenge to geospatial data users when making a dataset selection decision. Part of the problem arises from the inconsistent and patchy nature of data quality information, which makes intercomparison very difficult. Over recent years, the production and availability of geospatial data has significantly increased, facilitated by the recent explosion of Web-based catalogues, portals, standards and services, and by initiatives such as INSPIRE and GEOSS. Despite this significant growth in availability of geospatial data and the fact that geospatial datasets can, in many respects, be considered commercial products that are available for purchase online, consumer trust has to date received relatively little attention in the GIS domain. In this paper, we discuss how concepts of trust, trust models, and trust indicators (largely derived from B2C e-Commerce) apply to the GIS domain and to geospatial data selection and use. Our research aim is to support data users in more efficient and effective geospatial dataset selection on the basis of quality, trustworthiness and fitness for purpose. To achieve this, we propose a GEO label – a decision support mechanism that visually summarises availability of key geospatial data informational aspects. We also present a Web service that was developed to support generation of dynamic GEO label representations for datasets by combining producer metadata (from standard catalogues or other published locations) with structured user feedback.

Publication DOI:
Divisions: ?? 50811700Jl ??
College of Engineering & Physical Sciences > Aston STEM Education Centre
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Sustainable environment research group
Additional Information: © IFIP International Federation for Information Processing 2018
Event Title: 12th IFIP WG 11.11 International Conference on Trust Management, IFIPTM 2018
Event Type: Other
Event Dates: 2018-07-10 - 2018-07-13
Uncontrolled Keywords: Geospatial data quality and trustworthiness,Trust indicators,Trust visualisation,Information Systems,Computer Networks and Communications,Information Systems and Management
ISBN: 9783319952758
Last Modified: 15 Apr 2024 07:47
Date Deposited: 17 Sep 2018 13:09
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2018-06-30
Accepted Date: 2018-04-24
Authors: Lush, Victoria (ORCID Profile 0000-0003-3248-9608)
Lumsden, Jo (ORCID Profile 0000-0002-8637-7647)
Bastin, Lucy (ORCID Profile 0000-0003-1321-0800)



Version: Accepted Version

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