Visualisation of Trust and Quality Information for Geospatial Dataset Selection and Use: Drawing Trust Presentation Comparisons with B2C e-Commerce

Abstract : 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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [44 references]  Display  Hide  Download

https://hal.inria.fr/hal-01855983
Contributor : Hal Ifip <>
Submitted on : Thursday, August 9, 2018 - 10:41:31 AM
Last modification on : Thursday, August 9, 2018 - 10:43:40 AM
Long-term archiving on : Saturday, November 10, 2018 - 12:51:14 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2021-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Victoria Lush, Jo Lumsden, Lucy Bastin. Visualisation of Trust and Quality Information for Geospatial Dataset Selection and Use: Drawing Trust Presentation Comparisons with B2C e-Commerce. 12th IFIP International Conference on Trust Management (TM), Jul 2018, Toronto, ON, Canada. pp.75-90, ⟨10.1007/978-3-319-95276-5_6⟩. ⟨hal-01855983⟩

Share

Metrics

Record views

490