Data Services
A GIS is only as good as the spatial data within it. Hence for your organisation to gain the maximum benefit from GIS requires spatial data that is fit for purpose, relevant and well managed. Insight GIS assists clients in all stages of the GIS data process, from data sourcing and provision, spatial data management and governance and delivery of spatial data.
Spatial data can be sourced from an ever-growing list of organisations. Government agencies, through their open data policies, are continuing to provide more and more spatial data. Data sets typically include property (cadastre), infrastructure (roads, pipe networks, utilities etc), environmental (vegetation, fauna and flora, soil, geology) and social (population, socio-economic).
The private sector supplies a range of data sets from aerial and satellite imagery to bespoke data sets (traffic and footfall movement).
With over 30 years in the GIS industry, Insight GIS have established relationships with a number of government and private data providers. We can quickly identify who has spatial data which best meets your needs and the most efficient methods to deliver the data to you.
Spatial data management and governance relates to how you collect, manage, manipulate and distribute geospatial data. Insight GIS works in all the associated roles – from management of organisation’s corporate spatial database to specific roles, such as value adding, integration with non-spatial data and the visualisation of location-based information. Spatial data governance refers to the standards, practices and guidelines that govern the use and management of spatial data.
To assist our clients, we usually undertake the following steps. Firstly, we assess the data to determine whether it will meet your needs. This addresses issues such as data format, completeness and currency, data structures, number of tables, singles sources of truth etc. We then look to develop data models and database schemas to guide the required workflows.
A key outcome is spatial metadata, which minimally includes a Spatial Index (name, currency, accuracy, format etc) and a Data Dictionary (specific characteristics of the data eg field names, data types etc)
The relationship between each component of the data management process
Effective spatial data governance is essential for promoting data interoperability, facilitating collaboration, and maximizing the value of geospatial information for decision-making.
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