The following question(s) were asked in the Collection Management Systems Webinar and will be answered here.
Guillaume Body: How do we record confident intervals (and/or standard deviation etc) of estimated “Assertions” ? e.g. population density estimated through statistics ; weight/length estimation ?
Response:
Assertions include a parentAssertionID, which is meant specifically to enable Assertions about the Assertions themselves. The best way to explain how this works is with an example. Let’s start with an EntityAssertion, for which we are going to need an Entity.
Let the Entity be the Beaufort Island Emperor penguin colony in 2006 (doi:10.1007/s00300-007-0317-8) with the following properties:
entityID: BIP2006
entityType: dwc:Organism (dwc:Organism can have a scope that is at the population level)
The measurement of interest is the predicted count of adults from a remote sensing algorithm and might be as follows:
entityAssertionID: ea1
entityAssertionType: predicted adult count
entityAssertionValueNumeric: 1764
entityAssertionProtocol: see doi:10.1007/s00300-007-0317-8
The predicted adult count has a 95% confidence interval with lower and upper limits. The lower limit would be a new Assertion with the predicted adult count Assertion as its parent, as follows:
entityAssertionID: ea2
parentEntityAssertionID: ea1
entityAssertionType: lower 95% confidence value
entityAssertionValueNumeric: 1275
entityAssertionProtocol: see doi:10.1007/s00300-007-0317-8
The upper limit would be a new Assertion with the predicted adult count Assertion as its parent, as follows:
entityAssertionID: ea3
parentEntityAssertionID: ea1
entityAssertionType: upper 95% confidence value
entityAssertionValueNumeric: 2512
entityAssertionProtocol: see doi:10.1007/s00300-007-0317-8