[Taxacom] Data quality in aggregated datasets
r.page at bio.gla.ac.uk
Thu Apr 25 03:41:42 CDT 2013
Leaving aside the issues of what both providers and aggregators can do to clean the data, we seem trapped in an endless cycle of :
1. OMG the data is broken!
2. SOMETHING MUST BE DONE!
3. Wave arms frantically, mention projects currently underway that will almost certainly solve the problem "real soon now".
4. ... [tumble weed]
5. Go to 1
There at least things we need to do to tackle this problem, and until we do we're not being serious about data quality.
In order to clean data that data has to persist long enough for people or algorithms to act on it. If I add an annotation to a piece of data I want that information to persist, otherwise why would I bother? At the level of specimens we don't have identifiers, and few have shown any commitment to tackling this problem (notable exception is Roger Hyam's work at the RBGE, see http://www.mapress.com/phytotaxa/content/2012/f/pt00073p030.pdf ). GBIF routinely deletes vast (in some cases literally millions) of specimen URLs, so any attempt to attach annotations to those records is doomed.
2. Annotation tools
Of course there are tools being developed by our community, but I've not seen any that look at all usable. In the real world we are used to tracking packages being couriered around the world (there's an app for that), and many will have come across feedback tools online where you can notify a site of an issue and engage in a conversation to resolve it. There are also more general annotation tools being developed, e.g. http://hypothes.is/ Let's leverage these.
Annotation rests on being able to identify the thing being annotated, and on the web URLs serve that purpose. Until we have stable URLs for specimens, and these are used by everyone who has something to say about that specimen, then we are doomed to repeat steps 1-5.
But of course, we know all this, and have done so for a while...
Professor of Taxonomy
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Email: r.page at bio.gla.ac.uk
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