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D6.1 - Piloting Scenarios & Evaluation Plan

Authors: Hans Marvin; Yamine Bouzembrak; Leonieke Van den Bulk; Anand Gavai; Wouter Hoenderdaal; Ningjing Liu;

D6.1 - Piloting Scenarios & Evaluation Plan

Abstract

This document provides an overall guidance methodology for the pilot execution in TheFSM project. It sets out the whole process of developing and conducting a pilot and provides for each step a guidance on how to execute these activities in an optimal manner. A pilot consists of the following different steps: i) creation of a pilot plan, including a Data Management Handling Plan (DMHP), ii) preparation of the pilot, iii) deployment and testing of the pilot, iv) evaluation of the pilot results, v) making adaptations to the product tested in the pilot, vi) piloting the new revised product and vii) finalisation of the product. Each of these steps is described in detail including materials that are needed and made specific for the applications to be tested in the pilots. In addition, for each pilot and application a local DMHP will also be developed. An outline for such a DMHP is provided and it describes how relevant data during the pilot should be collected, processed or generated, how it should be curated and preserved, etc. This document also includes templates which should be completed for each pilot and application being tested. Finally, some supplementary materials are provided in the appendix.

Keywords

food safety, certification, big data, standards

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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