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TitleGeospatial data quality guide
DownloadDownloads
AuthorGeoConnections; Intelli3 Inc.
SourceCanadian Geospatial Data Infrastructure, Information Product 43e, 2016, 71 pages, https://doi.org/10.4095/297536 (Open Access)
Year2016
PublisherNatural Resources Canada
Documentserial
Lang.English
Mediaon-line; digital
RelatedThis publication is a translation of GéoConnexions; Intelli3 Inc.; (2016). Guide sur la qualité des données géospatiales, Canadian Geospatial Data Infrastructure, Information Product no. 43f
File formatpdf
Subjectsgeophysics; remote sensing; information geology; computer mapping; mapping techniques; data collections; geographic information system
Illustrationstables; flow charts
ProgramGeoConnections Secretariat, GeoConnections Secretariat
Released2016 03 01
Abstract(Summary)
The production, distribution and usage of geospatial data have changed dramatically in the last decade. Traditional industry and government data providers have been joined by new major IT players to facilitate the dissemination and integration of geospatial data for the mass market. This is changing the game with regards to evaluating geospatial data quality and managing the risks of inappropriate data usages. It is progressing from a traditional Business-to-Business (B2B) mindset towards a Business-to-Consumer (B2C) and Consumer-to-Consumer (C2C) mindset. In the new B2C and C2C contexts, typical geospatial data users do not understand the uncertain nature of geospatial data and take digital data for granted. This sometimes leads to erroneous decisions, possibly having significant social, political or economic consequences. In mass markets, consumers have certain rights and the providers of goods or services have obligations. Regulations and court decisions suggest that consumers must be informed about the quality of a product or service, as well as about the risks and prohibited usages. Examples of such information can be found in user manuals, guarantees and warnings.
This guide explains how to manage geospatial data quality and risks of usage at every phase of a data product life-cycle: design, implementation, production, delivery and usage. It explains the geospatial data evaluation process as presented in the ISO 19157 Geospatial information - Data quality international standard. It also presents the general risk management framework of the ISO 31000 Risk management - Principles and guidelines international standard along with numerous examples related to the management of risks of inappropriate usage of geospatial data.
Recommendations related to geospatial data quality and risk management are given for the B2B, B2C and C2C contexts.
Summary(Plain Language Summary, not published)
The production, distribution and usage of geospatial data have changed dramatically in the last decade. Citizens are massively consuming and producing geospatial data. This is changing the game with regards to evaluating geospatial data quality and managing the risks of inappropriate data usages. This guide explains how to manage geospatial data quality and risks of usage at every phase of a data product life-cycle: design, implementation, production, delivery and usage. It explains the geospatial data evaluation process as presented in the ISO 19157 Geospatial information - Data quality international standard. It also presents the general risk management framework of the ISO 31000 Risk management - Principles and guidelines international standard along with numerous examples related to the management of risks of inappropriate usage of geospatial data. Recommendations related to geospatial data quality and risk management are given for the Business-to-Business (B2B), Business-to-Consumer (B2C) and Consumer-to-Consumer (C2C) contexts.
GEOSCAN ID297536