- the Data Modelling and its fit for purpose towards some given end-user applications
- the ability to estimate and record data quality values, especially through uncertainty calculation and modelling
- the ability to confidently exploit, update and keep track of these quality descriptions, notably within reliable metadata records
Computing trust in this context is oftenly related to :
- the requirement for a data accuracy management strategy
- the availability of uncertainty estimates, associated with the chain of measurements and processings of such data
- the ability to communicate and make use of such estimates in an interoperable manner
Out of the different participating organisations, some consolidated topics are tentatively presented here below.
QA4EO was established by CEOS as a contribution to facilitate the GEO vision for a Global Earth Observation System of Systems (GEOSS), initially relying on the Space Domain knowledge coming from calibration and validation experts.
There is a good entry point to the topic of ‘QA4EO for GEO’ on the GEOSS Best Practices Wiki, Data Quality Assurance pages.
Article and concept diagram) discussed in the GIS4EU project (INSPIRE Data Harmonization context):
The NetMar project is addressing standards for data and metadata formats, as well as exchange protocols, as the first steps to bridge existing marine data systems. The next step is looking at the semantics of the services, including an uncertainty model, to allow transparent computer-based discovery.
The GIGAS project.
GIGAS results presneted to AIP-3 had a focus on ISO19156 Observations & Measurement.
This ISO19156 standard (and ISO and OGC standards, more generally) have been discussed in regard of the need to pay attention to making standards sensibly modular, that several aspects in 19156 are very generic in nature, and have relevance across a large set of uses. Specifically, the question of modularity to 'import' a standard like UncertML was raised !
The ISO19156 rationale for including quality information could be made more strongly and more explicitly (like in Section B5.1 on discovery and use).
There is also a Future Sensor Web forum group within INSPIRE that examines uncertainty.
CSIRO has formed a partnership with the Rensselaer Polytechnic Institute to develop a web-based provenance management system for the water domain. Initially, the focus will be on the development of use cases that are applicable to the flow forecast system that the CSIRO has developed (soon to be registered in GEOSS).
The use cases can be viewed here.
- Resuming the way that topic is also adressed in other contexts (INSPIRE initiative, CSIRO projects, Projects under the EC Framework Programmes, ...)
Ontologies & registers: coordination with other AIP WGs
- Through AIP-3, the uncertainty quantification was suggested as the only principled way of combining imperfect information from multiple sources.
- Defining the universe of discourse (what we are able to represent and describe in our model), when dealing with such a subject matter, is also raised as a requirement.
Recommendations for the Task Forces:
- GEOSS Common Infrastructure TF
- Data Sharing TF