Monthly Archives: January 2019

Why visualising Data Quality issues can overcome institutional inertia.

By |2019-01-28T17:05:40+00:00January 28th, 2019|What I've done|

A recurring problem with resolving cross domain data quality issues is the asymmetry of benefits. Essentially the data producer (responsible for entering or uploading data at the point of collection) has little visibility of how the quality of that data will affect the data consumer (the person or persons who use it). The utility of data is often scuppered at this collection point, as the producer - understandably - will apply only the business and quality rules relating to their own use cases. This is not simple to fix. I used to believe merely showing people the implications of these actions [...]

Data Futures Mapping Tool v2.1

By |2019-01-23T10:15:37+00:00January 7th, 2019|What I've done|

In my last blog post, I introduced a mapping tool linking the HESA Data Futures schema (2.01) to the UCISA HE capability model. This generated an enormous amount of feedback and interest. This interest made me appreciate - again - how powerful the capability model is if tuned to a real world scenario, and that I'd created a bit of a monster in terms of the tool itself. Having said I wasn't going to enhance it, the number of  requested changes, and a bit of spare time over the break has brought forth version 2.1.  The new functionality includes: A query function [...]