Development of an ontology for syndromic classification of animal Health data
Development of an ontology for syndromic classification of animal health data
As the field of veterinary syndromic surveillance continues to develop, the adoption of syndromic classification standards becomes essential in order to promote maturity of the field and allow comparability of outputs from systems using different animal health data sources from different origins.
Recognizing that institutions will continue to record animal health data according to their own standards and vocabularies, and recognizing also that data sharing across countries is not easily achievable, this project proposes to harmonise syndromic surveillance data use rather than data recording. That would be achieved by standardising the classification of records into syndromes. The advantages would include: an ability to achieve syndromic classification from different sources of data which are (and will continue to be) recorded using the institution’s own vocabulary; the ability to compare VSS system outputs; and the more timely development of VSS systems.
In order to achieve that, we will make use of current technologies of information management and sharing, which are aimed at promoting intelligent access to data. In particular, we will be informed by the latest thinking relating to the Semantic Web, which supports the development of frameworks to maximize the potential of data sharing and reuse.
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May 2014: First workshop gathering experts in veterinary syndromic surveillance, held in conjunction with the International Conference of Animal Health Surveillance (ICAHS) in Cuba.
Click here for a full report of the project goals and results of the first workshop.
July 2014: The project is awarded funding from Vinnova (Swedish Governmental Agency for Innovation Systems) for a project planning phase to be carried out from October 2014 through June 2015.
December 2015: The project is awarded a second round of funding from Vinnova (Swedish Governmental Agency for Innovation Systems) for a project development phase to be carried out from January 2016 to December 2017.
Project documents and publications: