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OGC Spatial Data Quality Survey Released
posted by Satri
on Thursday October 02, @10:34AM
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from the quality-is-in-the-eyes-of... dept.
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Vector One provides a followup the OGC survey on spatial data quality, mentioned last year.
The results of the survey can be found here [pdf]. From V1's entry: "- Smaller companies (less than 20 people) are most keenly interested in data quality, followed by large companies. Medium sized are last.
- Spatial data quality impacts 46% of projects currently with end-user’s feeling most impacted.
– People want consistent results.
– 80% of people store data digitally (but 20% are still on paper)."
Related Stories
Technology: Spatial Data Quality and the OGC
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Vector One has an interesting entry named spatial data quality: time to move ahead: "Data quality is the grease that makes the spatial information wheel go around and around, faster and further. [...] The Open Geospatial Consortium (OGC) has begun to work towards the improvement of spatial data quality and a survey is currently open on these issues. [...] Furthermore, I don’t think this industry can come to grips with the issues of return on investment (ROI) in a consistently accurate way, until it deals with issues surrounding ’spatial data quality.’" Update: 11/02 13:37 GMT by S : GIS Monitor runs a full article on OGC and data quality.
Technology: An Introduction to Spatial Data Quality
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GIS Lounge runs a short introduction to spatial data quality. A topic recently covered. From the article's introduction: "Data created from different channels with different techniques can have discrepancies in terms of resolution, orientation and displacements. Data quality is a pillar in any GIS implementation and application as reliable data are indispensable to allow the user obtaining meaningful results. Spatial Data quality can be categorized into Data completeness, Data Precision, Data accuracy and Data Consistency."
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