Context
The One Health approach is a challenge for public action. The fight against antibiotic resistance is part of this approach, which recognizes that human, animal and environmental health are closely linked and interdependent. This approach applied to antibiotic resistance is based on the principle that bacterial resistance to antibiotics is an intersectoral and multidisciplinary problem that cannot be resolved by approaching it solely from a health perspective.
This is why, as part of its missions, PROMISE wanted to establish and design a common One Health-oriented surveillance data warehouse, bringing together and cross-referencing elements relating to humans, animals and ecosystems.
Objectives and method
The joint One Health data warehouse aims to bring together surveillance data from three sectors. The stated objectives are multiple. On the one hand, this warehouse facilitates access to monitoring data and their visualization. Indeed, data visualization makes data analysis faster, in addition to making interpretation accessible to people who are not data specialists. On the other hand, this common base makes it possible to cross-reference data more easily, in order to pave the way for more integrated monitoring of antibiotic resistance, to highlight new areas of research and to produce valuable content (reports, analyses, models, illustrations, etc.).
You should know that this warehouse is built according to a “bottom-up” project management approach, that is to say which consists of collecting “field” data to arrive at a synthesis and bring up the relevant elements in the most appropriate manner. as efficient as possible. This goes through:
- setting up an inventory (Data Management Plan, workshops, working groups, etc.);
- the definition of variables and indicators (spatio-temporal, resistance data, pathogens, etc.);
- integration (i.e. defining a protocol to collect data from numerous sources);
- analysis (i.e. the provision of a single data source to meet research needs).
Related media [FR]
How the One Health common data warehouse works
This repository brings together consumption, resistance and exposome data. This represents all the chemical, clinical and environmental exposure factors made interoperable thanks to the bioinformatics expertise of INRIA (National Institute for Research in Digital Sciences and Technologies), member of the PROMISE project, specialized in development of research and development in information and communication sciences and techniques.
