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ABSTRACT:Volunteer geographical information (VGI) either in the context of citizen science, active crowdsourcing and even passive crowdsourcing has been proven useful in various societal domains such as natural hazards, health status, disease epidemic and biological monitoring. Nonetheless, the variable degrees or unknown quality due to the crowdsourcing settings are still an obstacle for fully integrating these data sources in environmental studies and potentially in policy making. The data curation process in which a quality assurance (QA) is needed is often driven by the direct usability of the data collected within a data conflation process or data fusion (DCDF) combining the crowdsourced data into one view using potentially other data sources as well. Using two examples, namely land cover validation and inundation extent estimation, this paper discusses the close links between QA and DCDF in order to determine whether a disentanglement can be beneficial or not to a better understanding of the data curation process and to its methodology with respect to crowdsourcing data. Far from rejecting the usability quality criterion, the paper advocates for a decoupling of the QA process and the DCDF step as much as possible but still in integrating them within an approach analogous to a Bayesian paradigm.

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Vorgestellt wird ein Maschinenprototyp zur Feinbearbeitung von Werkstückkanten und -oberflächen. Dieser verfügt über integrierte optische Messtechnik, die zur Kontrolle der Bearbeitungsergebnisse und gegebenenfalls zur automatisierten Nachbearbeitung eingesetzt werden kann. Mit dem Prototypen werden zum einen Fräswerkzeuge präpariert und zum anderen die Prozessparameter und deren Effekte analysiert. Abschließend beschreibt der Fachbeitrag einen Ansatz zur automatisierten Auslegung der Prozessparameter.   This paper presents a machine prototype for the finishing of edges and surfaces of work pieces. The prototype has an integrated optical measurement device, which can be used for the control of the process results and possibly automated remachining. The machine is used for the preparation of milling tools. Process parameters and their effects are analyzed and an approach for the automated setting of the process parameters is shown.

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