Tool Box
Tool Box
The COMFOCUS Knowledge platform comprises a set of key services – The COMFOCUS Toolbox – to its users to facilitate easy access and optimal use. Together, these services will enable the field of food consumer science to prepare for the 21st century. In particular the COMFOCUS Knowledge Platform will facilitate the community towards higher levels of collaboration between key research infrastructures (on the basis of shared interest around data and facilities available).
COMFOCUS TOOLBOX SERVICES: (Under development)
A data validation tool will ensure that only data sources that conform to both the COMFOCUS harmonised measurement approaches and research protocols and the principles of FAIR and RRI, are becoming part of the COMFOCUS data infrastructure
A harmonised protocol search tool is the direct result of the harmonisation efforts initially developed within established self-report approaches, with the same procedure also being applied as a template for the harmonisation efforts of emerging technologies. Thanks to the detailed description of these procedural protocols in the metadata, protocols can be searched within the COMFOCUS Knowledge platform as a guide to future study design, data collection, as well as actual data integration
A harmonised dataset search tool is the direct result of the harmonisation efforts initially developed within established self-report approaches, with the same procedure also being applied as a template for the harmonisation efforts of emerging technologies. Thanks to the detailed description of these procedural protocols in the metadata, protocols can be searched within the COMFOCUS Knowledge platform as a guide to future study design, data collection, as well as actual data integration
A scientific analysis and visualisation tool provide deep insights into data quantifying consumer behaviour according to the principles of the COMFOCUS Logical framework and the metadata developed. The analysis requires two pre-processing steps: 1) data of different types (e.g. images, text documents, structured data) must be normalised, and 2) the normalised data needs to be fused. To visualize the results of the data analysis, the tool will provide a module for visual presentation and analysis of features in a form of charts, maps and other visualization forms.
A representational learning tool uses the data and the created ontology to connect studies from a variety of research institutes. The result is displayed in a knowledge graph that is much more intuitive to interpret than just scrolling through descriptions of datasets. It helps users to better assess the nature of the available data and their interrelations. Thus, the COMFOCUS Knowledge graph will become a single place to find the COMFOCUS data and understand what it is all about them. A great benefit of such a graph is that the users of the harmonised dataset search tool will be able to submit queries in a style that is much closer to a natural language, using a familiar domain vocabulary.