Slashgeo Log In
Spatial Data Quality and the OGC
posted by Satri
on Friday November 02, @07:21AM
Permalink
Trackback URI
Slashdotthis
Diggthis
Del.icio.us
from the my-quality-is-not-your-quality dept.
Permalink
Trackback URI
Slashdotthis
Diggthis
Del.icio.us
from the my-quality-is-not-your-quality dept.
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.
Related Stories
Who’s Responsible for Map Data?
[+]
All Points Blog has an editorial asking "Who’s Responsible for Map Data?". From the text : "Back in the day we were the only ones to see this data; today its streaming all around the globe for billions of eyes to see and potentially “correct.” I hope the mapping portal operators and their data providing partners will take seriously the need for processes to receive and react to these [correction] requests. Further, they need to as transparent about their decision making as possible to help end user and mapping portal hosts to make the best choices."
Industry: Do You Think Users of Spatial Data Are (Finally) Willing to Pay?
[+]
Vector One's Jeff Thurston has an interesting blog entry about our willingness to pay for quality data. From the article: "A key ingredient that has been missing during this back and forth see-saw debate of quality has been a way to assess the quality of geographic information – and that covers a much broader territory than web mapping alone."
GIS Data Duplication Challenges 4 comments
[+]
Spatial Galaxy has a funny and interesting account of problems with duplication of datasets. From the blog: "Well maybe its not that bad but organizing and managing your GIS data is difficult. If you need to maintain canonical datasets, the spread of “temporary” and/or “working” copies is your enemy. The problem seems to be directly related to the size of the organization. It becomes particularly grievous when dealing with enterprise data in a large organization."
Application Domains: 1Spatial Creates Online Data Quality Library For GeoSpatial Community
[+]
1Spatial is has announced the creation and provision of a new Data Quality Library, and is inviting contributions from others in the spatial data industry. From the www.geocomm.com website: "As a result of working in the geospatial arena for almost 30 years with a variety of prestigious and high profile customer and partner organisations, 1Spatial has identified the need for greater information access, sharing and awareness relating to spatial data quality. The library will house a collection of material and links relating to spatial data quality produced by 1Spatial, industry colleagues, independent analysts and academics, providing a free, centralised resource for all spatial data users. There is currently a vast amount of information relating to this topic available, but no single repository for industry access and sharing." Learn more below.
An Introduction to Spatial Data Quality
[+]
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."
Industry: OGC Spatial Data Quality Survey Released
[+]
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)."
This discussion has been archived.
No new comments can be posted.
The Fine Print: The following comments are owned by whoever posted them. We are not responsible for them in any way.
