New Tool to Make Complex Dietary Data Simple
Written by Creme Global
Researchers, regulators and the health and wellness industry often use information from national food consumption survey data to answer important public health policy questions or perform risk assessments.
Researchers, regulators and the health and wellness industry often use information from national food consumption surveys to answer important public health policy questions or perform risk assessments. Some examples of surveys used in public health nutrition research include the National Diet and Nutrition Survey (NDNS) rolling programme from the UK, the third national study on the food consumption and dietary habits of the French population (INCA 3) or the National Health and Nutrition Examination Survey (NHANES) in the USA. These studies are designed to assess the health and nutritional status of adults and children in their respective countries. The surveys typically combine data on individual dietary recalls or records, questionnaires, interviews and physical examinations.
Those large databases have provided valuable insights that have been used over the years in order to inform public health, policies, consumer safety and product development for example. But this comes with an obvious caveat. Though they can provide an incredibly rich source of data for research and analysis, the scope and complexity of the datasets requires users to be familiar with survey methodologies in order to understand the application of the data variables, manipulation and analysis, thus making it challenging to extract insights quickly and easily.
This is a challenge that Creme Global are looking to solve by overcoming the complexity of datasets through a user friendly platform, built on years of experience in interrogating such data sets.
Our solution is the Dietary Data Explorer, a unique and versatile cloud based tool, designed to allow users of varying levels of expertise to approach extensive dietary data globally from various angles and quickly find answers to new and interesting questions. The tool offers a holistic view of extensive databases, and is designed to simultaneously spark questions and quickly deliver answers.
As any insights from the data are only as good as the data used, our first step is to host most up to date databases as well as older legacy files, allowing for in-depth investigation into the data. This data structure usually requires users to know the ins and outs of the data files and meaning of the many variables available . With the Dietary Data Explorer data is immediately accessible and users can get straight into data interrogation. Simply log into the platform and get to work.
As the Dietary Data Explorer is built on our tried and tested scientific modelling platform Expert Models™, the survey data can easily be complemented with development of custom predictive models for a more precise view towards the future. Years of experience in working with global food consumption surveys have helped us design how the data can be used at every stage of using the tool. The visual data viewer allows users to explore datasets in a more intuitive way. Pre-made data queries reflect common questions and are curated by our team of experts. Users can also build their own data queries using simple building blocks and then quickly save their findings to a flexible dashboard that can be shared with other team members.
With every step of building this tool we tried to translate the complexity of these dietary datasets and make it more accessible while fully preserving the breadth of contained data.