Qualifying geospatial workflow models for adaptive controlled validity and accuracy

Sharing geospatial data and geoprocessing models within a system like GEOSS (global earth observation system of systems) is challenging to interoperability concepts and technology. Standardisation bodies, providers, researchers and policies ensure progress towards this goal. Nonetheless, the availability of these services questions the use and reuse of information resources in terms of their appropriate context, scale, sensitivity and quality. The outcome(s) delivered from a workflow chaining data and processes that were not necessarily elaborated with the implicit aim of this workflow, may vary accordingly. Decisions to modify or adapt the workflow needs to be controlled. Qualifying a workflow model with additional metadata associated with the chosen datasets and the chosen sub-models is essential to help scientists in assessing the reliability of outcomes but also to refine the corresponding GEOSS-based model. This paper investigates different approaches to control the validity of such workflow and for assessing its quality and sensitivity. A meta-model integrating metadata measures compatible with current standards is investigated.