The aWISH data platform is being developed as the central digital backbone of the aWISH project. Its purpose is to support the monitoring and analysis of animal‑based welfare indicators for broilers and pigs, primarily measured at the slaughterhouse and linked to earlier stages of the production chain, including on‑farm practices, transport, and lairage.
The platform is designed to integrate data from different monitoring technologies, organise it securely, and visualise key welfare indicators in a user friendly way. The users can access information on the measured animal welfare indicators of their own batches, aggregated information, trends over time and benchmarking data. By providing feedback to production chain stakeholders, it supports early detection of welfare risks and continuous improvement across livestock production chains.
Who is the
platform for?
Currently, the aWISH platform is only available for the aWISH project partners. However, in the future, the data platform will be used by different actors involved in the livestock production chain, including:
Production chain stakeholders, such as farmers, catching teams, transporters, and slaughterhouses
Technical partners, responsible for monitoring technologies and data collection
Researchers, analysing animal welfare indicators and trends
Other stakeholders (e.g. competent authorities), who may access aggregated and anonymized information for dissemination or knowledge‑sharing purposes
Access to data and visualisations is managed according to clearly defined roles and permissions, ensuring data protection and regulatory compliance.
Platform Tutorial Video
The video below provides a guided walkthrough of the aWISH data platform interface and main functionalities.
Although the data platform is still under development and not yet publicly released, this tutorial video has been prepared to help future users understand how the platform works and how it can be used once it becomes available.
The video presents the structure of the platform, the types of information it brings together, and how different users will be able to navigate datasets and visualisations related to animal welfare monitoring. To comply with the data protection, the tutorial is entirely based on synthetic data.
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Funded by the European Union.
Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or European Commission.
Neither the European Union nor the European Commission can be held responsible for them.