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Fig. 2 | One Health Outlook

Fig. 2

From: Developing a one health data integration framework focused on real-time pathogen surveillance and applied genomic epidemiology

Fig. 2

A One Health Systems Framework for Data Integration. First, a workgroup is formed, considering participants from sectors that collect, analyze, and have governance over relevant data, as well as from different disciplines, the research community, public-private partnership, or community partners. This workgroup scopes the system to clearly define the purpose and outputs. Based on the specified scope, a data mapping process is performed to understand what relevant data is available and whether the data timeliness, completeness, granularity, and quality support the scope. Current data structures, access, and connections are defined, and system capabilities (such as data export formats or capacity to send or receive standardized messaging) are outlined. Partner inclusion may be assessed throughout the process of data mapping, and system scope may need alterations dependent on available data. Based on the differences in the desired system and the mapped current system, gaps in data, data linkage, and data access are identified. Recommendations for improved data capture or sector-specific data systems to support a future integrated data system may be needed. An action and funding plan should be jointly developed throughout this process. A One Health data integration informatics team should be in-place prior to system development. In the system development phase, system specifications are outlined, including the data design, user requirements, data governance, and data security levels. Based on these system specifications, database structure options are considered, prioritizing modern data connections, limiting manual data manipulation, and future system needs for flexibility. The selected approach is used to identify potential system options. Once a system is in-place, the production phase should include user onboarding and training, system documentation, implementation of joint analyses, external data sharing oversight, ongoing monitoring and evaluation, and a plan for system maintenance and improvement. This last step may include revisiting system scope to add future capacity. See the framework implementation guide for additional detail

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