Releasing data really works! Part IV

[Update: this was summarised into a story map here posted also on this blog here]

Two years then one year ago I QC'd UK Ordnance Survey data for East Anglia, and sent the polyline spike and kickback errors to the Agency, who posted the corrections this year. They noted the errors I reported fell below their own QC criteria, but they invited me to retest their updated dataset. This issue is topical as  posted on GISlounge on the same topic proposing other tools.

Releasing public data really works!

[03 Nov 13 update: "relooped the loop" by testing the corrected Ordnance Survey data
Feb 2013 update: Ordnance Survey cartography stylesheets made available for QGIS
19 Jul 2019 update: reposted it on ArcGIS Online]

UK Ordnance Survey released Open Data to the public two and a half years ago. English Parish boundaries have been more or less constant since the Domesday survey in 1087. That allowed me to post University of Cambridge Don HC Darby and Yale University student Julie Bowring socio-economic data, by simply adding attribute data to the Ordnance Survey shape files. That onerous, if one-time, task was entirely manual: when 1SpatialCloud launched Online Validation  it seemed only natural to try it out; they actually wrote some simple rules and we thus co-branded as quality assured by 1SpatialCloud Online Validation Service wherever I posted the data. Here are the resulting error shape files:

On-line spatial data validation, part II

[2013 update: Socium is now 1SpatialCloud]

Three weeks ago I introduced Socium's Online Validation Service (OVS). I showed the Ordnance Survey vector data QC, on the UK Parishes used as a geographic unit for the Medieval Fenlands project. Two weeks ago Socium kindly created a new rule, to post unexpected variations in adjacent feature attributes. In an essentially agricultural era, economic wealth of the Domesday period was quantified by Darby via the number of plough teams per parish. That is the attribute the rule was written for (it's hard-wired right now and Socium plans to add metadata pick lists in the future).

Cloud futures #2: on-line spatial data validation

[Update: follow ups for this project are Releasing Data Really Works Part I and Part IV]

Following vector maps on the web (cloud futures #1), here is a freemium online validation service (OVS) that helps us QC, quantify and clean up spatial data on the web. A speciality of 1Spatial is its spatial validation, an essential first step to setting up proper spatial data infrastructure. They spun off 1SpatialCloud to offer the same service online.

"Who you gonna call?"

"Geo busters!" (apologies Ghost Busters).

Geodata access and availability is the real story behind the flurry of news around UK government freeing up some data, vs. Google collecting it and returning it for free, and many others. And this happens against a backdrop of various SDI (spatial data infrastrucutre) intiatives. I joined a UK government data developers mailing list, to educate myself on the ins-and-outs of data provision at the coal face, so to speak. And RDFa emerges as the way to resolve this - the more metadata one provides within any given dataset, the easier it is to classify and maintain internally, and to discover and distribute externally.