Development of a quality evaluation framework for consumer generated food purchase data: D5.3

Normann, A., Ekman, Susanne, Klepacz, Naomi, Maringer, Marcus, Geelen, Anouk, Verain, Muriel and Raats, Monique M. (2016) Development of a quality evaluation framework for consumer generated food purchase data: D5.3 European Commission 32pp.

Abstract

The overall aim of RICHFIELDS is to design a Research Infrastructure (RI) and data platform for the collection, integration, processing and sharing of consumer generated data related to food intake activities. In order for the data to be valuable to users of RICHFIELDS it is essential that factors influencing the quality of this data are identified and thereby visualize the potential opportunities, as well as the gaps and needs, with the data as part of the collection, integration and dissemination process.A set of quality criteria was formulated for the evaluation and inventory framework of the consumer generated food intake activities, within the areas of scientific relevance and technical and legal governance. Furthermore, the result of this deliverable should also provide structure and guidance for the data collection and inventory of consumer generated food purchase tools (task 5.1).A literature search has been conducted and existing quality frameworks of eHealth and mHealth applications have been summarized in order to create the quality framework. Quality criteria from that overview were selected based on the significance for the quality dimensions, data management and legal governance. To evaluate the relevance of the selection of quality criteria, experts in the relevant fields of Law and ICT were contacted. Based on the experts’ opinions the selection of quality criteria was adjusted. The work also continued parallel to the actual inventory (task 5.1), adding variables/inputs to the criteria alongside increased knowledge about different tool types and what consumer generated purchase data they potentially generated. However, existing quality frameworks are rather general in nature with respect to scientific relevance and do not focus on specific scientific fields such as those relevant to RICHFIELDS. Thus, it was necessary for the assessment of quality within RICHFIELDS to create a unique set of criteria. The selected quality criteria are thought to be relevant and comprehensive across the needs and requirements of the various disciplines involved in designing the blueprint of the RI and data platform.

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Contributors

Author: Naomi Klepacz

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