Project deliverable Open Access
Eliana Giannelou; Nikoletta Nikolopoulou; Dimitris Fotakidis
This report presents the BigDataGrapes project vision and ambition and summarises the project’s achievements. Its target audience comprises representatives of external interested communities as well as the general public.
The document summarizes the technical and implementation details of the BigDataGrapes infrastructure, describes the technical choices and the rationale behind them, and discusses the research and scientific particularities faced by each of the BigDataGrapes pilots.
More specifically, the document establishes the main objectives of the BigDataGrapes project and summarizes the core outcomes of the five pilot communities represented in the project. Based on these two axes, the technical advancements achieved during the reporting period are contextualised and discussed at a high level. Finally, the report concludes with the presentation of the BigDataGrapes platform and the BigDataGrapes Data Market Place.
The document is structured as follows. Chapter 1 provides an introduction to the main issues tackled by the BigDataGrapes project, whereas Chapter 2 provides an overview of the use cases with details on the methodology followed in order to define them and associate them with BigDataGrapes pilots. Chapter 3 identifies the progress and results of each of the five selected pilots, while Chapter 4 describes the technical advancements of the project and the BigDataGrapes Platform. Chapter 5 presents the BigDataGrapes Data Market Place providing 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. The last Chapter, discusses the conclusions of the deliverable. Finally, in the annexes we report the best practices for using the BigDataGrapes platform and the GaCoVi usage instruction. All the necessary components to set up an instance of the Big Data Platform are available in the projects Docker hub and can be deployed easily at any infrastructure. The use of dockers is straightforward so in this section, we are describing how one can set up and deploy an instance of the Big Data Platform for a specific use case: collecting and processing food safety incidents that are announced by National Authorities all around the world.