Work outcome: A big data software stack comprising the components that implement the novel methodologies for each technical challenge.
Related progress in the Reporting Period:
• The technical architecture and the software stack of the Big Data Platform was finalized.
• Updated the list of the big data software components and developed APIs for accessing and using the individual components and the overall software stack.
• Developed a data API for making available the datasets of the big data platform to the data marketplace and third-party systems.
Work outcome: A data marketplace where grapevine-powered data assets will be shared and exchanged in interoperable formats and versions, by companies and organisations responsible for them.
Related progress in the Reporting Period:
The BigDataGrapes Data Marketplace is developed and accessible through the BigDataGrapes website (
https://marketplace.bigdatagrapes.eu/(odnośnik otworzy się w nowym oknie)). The development of the data marketplace provides the necessary proof in action that grapevine-powered data assets are shared and exchanged in interoperable formats and versions, by companies and organisations responsible for them.
Work outcome: The project has focused on exploring different visualisation methods to provide decision support in cases when uncertainty is high.
Related progress in the Reporting Period:
During the reporting period, we have delivered various versions of interactive visualisation components that allows end-users to explore their datasets, uncertainty-aware visual analytic components designed to highlight uncertainties in prediction outcomes, and trust-aware decision support system that uses visualisation techniques to explain the influence of input (predictor) variables on prediction outcomes.
Work outcome: Design and execute the rigorous testing of the proposed technical components to be integrated in the BigDataGrapes platform, in intensive experimental testing under stressed conditions, and comparing with current state-of-art algorithms.
Related progress in the Reporting Period:
● We updated the rigorous experimental methodology.
● For each pilot three different usage scenarios were selected, and rigorous testing experiments ran such as to measure the efficiency of the platform.
● We developed a set of synthetic data generators to be used for projecting data.
Work outcome: Design, plan and execute pilots pertaining to the defined use cases and the respective requirements.
Related progress in the Reporting Period:
● Defined and updated the experimental protocols and processes to be employed in accordance to the piloting plan
● Produced a very detailed human-centered evaluation methodology, in order to evaluate the results of the application pilots qualitatively (user satisfaction and involvement) and quantitatively against the Key Performance Indicators.
