The role of data modelling in a modern geological survey

Nayembil, M.; Baker, G.. 2015 The role of data modelling in a modern geological survey. In: 17th Annual Conference of the International Association for Mathematical Geosciences, Freiberg, Germany, 5-13 Sept 2015. IAMG.

Before downloading, please read NORA policies.

Preview

Text IMAG_extendedabstract_MLN.pdf - Accepted Version Download (1MB) | Preview

Abstract/Summary

Data models are key elements in understanding the meaning (semantics) of data and communicating the information requirements for geoscientific-environmental research. The British Geological Survey (BGS) models its data to provide an understanding of: the organisational information requirements and its communication; the nature of its data independent of their physical representations and to facilitate the access of the data across multiple outlets. Generally, the components of an optimal model are that it has: structural validity, simplicity, expressibility, nonredundancy, shareability, integrity and can be presented diagrammatically. However, trade-offs are sometimes necessary to avoid the loss of simplicity in trying to achieve greater expressibility in a data model. The paper explores the role of data modelling at the British Geological Survey (BGS) in developing an integrated geoscientific data model, a component of a multi-tiered data architecture.

Item Type:	Publication - Conference Item (Paper)
Additional Keywords:	database, data architecture, spatial data, management of geological data, data modelling, standards and best practice, database denormalisation
NORA Subject Terms:	Earth Sciences Computer Science Data and Information
Date made live:	30 Nov 2015 12:50 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/512308

Actions (login required)

View Item

Document Downloads

More statistics for this item...