[Taxacom] Data quality in aggregated datasets
pentcheff at gmail.com
Sun Apr 21 17:24:38 CDT 2013
There is much more than silence, but making a working system takes both an
initial effort and changes in the way provider systems work. It will take
time to take effect.
pentcheff at gmail.com
dpentche at nhm.org
On Fri, Apr 19, 2013 at 3:04 PM, Robert Mesibov <mesibov at southcom.com.au>wrote:
> There have been occasional grumblings here on Taxacom about data quality
> in the aggregator world, e.g. in GBIF, but what would happen if you
> methodically audited a sample of aggregated species occurrence records?
> What sorts of errors would you find? Would they be rare? Frequent?
> I've done an audit of this kind for Australian millipede records in GBIF
> and the Atlas of Living Australia (ALA) and published the results in
> ZooKeys: http://www.pensoft.net/journals/zookeys/article/5111/a-specialist
> The audit results can't be generalised to all taxa and all parts of the
> world, but they're pretty disappointing. GBIF and ALA, however, disclaim
> all responsibility for data problems. If there's an error, it's the fault
> of the data provider. So how do errors in online databases get discovered
> and fixed?
> In this particular case, an interested third party (me) finds problems and
> alerts the data provider directly. The data provider fixes the errors and
> in the fullness of time sends corrected records to the aggregator.
> (Although I found evidence that erroneous records can persist through an
> What about aggregated datasets in general? What mechanisms are there for
> detecting and fixing errors besides (interested third party) > (data
> provider) > aggregator?
> [Long silence.]
> Dr Robert Mesibov
> Honorary Research Associate
> Queen Victoria Museum and Art Gallery, and
> School of Agricultural Science, University of Tasmania
> Home contact: PO Box 101, Penguin, Tasmania, Australia 7316
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