--- a/data-cube-ucr/index.html Thu Mar 15 12:46:56 2012 +0000
+++ b/data-cube-ucr/index.html Wed Mar 21 18:40:58 2012 +0100
@@ -168,11 +168,6 @@
machines can appropriately visualize such quantities or have
conversions between different quantities.</p>
- <p>Quantity comprises necessary information to interpret the value,
- e.g., the unit and arithmetical and comparative operations; humans and
- machines can appropriately visualize such quantities or have
- conversions between different quantities.</p>
-
<p>A Measurement separates a quantity from the actual event at
which it was collected; a measurement assigns a quantity to a specific
phenomenon type (e.g., strength). Also, a measurement can record
@@ -340,6 +335,8 @@
the OGC "Observations and Measurements" (O&M) logical data model, also
published as ISO 19156. The QB spec should maybe also prefer the term
"multidimensional model" instead of the less clear "cube model" term.
+
+
<p class="editorsnote">@@TODO: Are there any statements about
compatibility and interoperability between O&M and Data Cube that can
@@ -387,8 +384,14 @@
this use case QB should recommend specific approaches to transforming
and deriving of datasets which can be tracked and stored with the
statistical data.</p>
- <p class="editorsnote">@@TODO: Add concrete example use case
- scenario.</p>
+
+ <p>A simple specific use case is that the Welsh Assembly government
+ publishes a variety of population datasets broken down in different
+ ways. For many uses then population broken down by some category (e.g.
+ ethnicity) is expressed as a percentage. Separate datasets give the
+ actual counts per category and aggregate counts. In such cases it is
+ common to talk about the denominator (often DENOM) which is the
+ aggregate count against which the percentages can be interpreted.</p>
<p>Challenges of this use case are:</p>
<ul>
<li>Operations on statistical data result in new statistical
@@ -396,6 +399,12 @@
operations such as slice, dice, roll-up, drill-down will result in
new Data Cubes. This may require representing general relationships
between cubes (as discussed here: [12]).</li>
+ <li>Should Data Cube support explicit declaration of such
+ relationships either between separated qb:DataSets or between
+ measures with a single qb:DataSet (e.g. ex:populationCount and
+ ex:populationPercent)?</li>
+ <li>If so should that be scoped to simple, common relationships
+ like DENOM or allow expression of arbitrary mathematical relations?</li>
</ul>
<p>Unanticipated Uses (optional): -</p>
<p>Existing Work (optional): Possible relation to Best Practices
@@ -674,6 +683,8 @@
ex:population "2" .
+
+
</pre>
<p>What is the best way (in the context of the RDF/Data Cube/SDMX
approach) to express that the values for the England/Scotland/Wales/
@@ -721,19 +732,6 @@
<p>In some situations statistical data sets are used to derive
further datasets. Should Data Cube be able to explicitly convey these
relationships?</p>
- <p>A simple specific use case is that the Welsh Assembly government
- publishes a variety of population datasets broken down in different
- ways. For many uses then population broken down by some category (e.g.
- ethnicity) is expressed as a percentage. Separate datasets give the
- actual counts per category and aggregate counts. In such cases it is
- common to talk about the denominator (often DENOM) which is the
- aggregate count against which the percentages can be interpreted.</p>
- <p>Should Data Cube support explicit declaration of such
- relationships either between separated qb:DataSets or between measures
- with a single qb:DataSet (e.g. ex:populationCount and
- ex:populationPercent)?</p>
- <p>If so should that be scoped to simple, common relationships like
- DENOM or allow expression of arbitrary mathematical relations?</p>
<p>Note that there has been some work towards this within the SDMX
community as indicated here:
http://groups.google.com/group/publishing-statistical-data/msg/b3fd023d8c33561d</p>