The digital transformation offers significant opportunities to advance infectious disease research through the adoption of digital data practices and computer-assisted methodologies. Novel data sets and advanced technologies enable a deeper exploration of infectious diseases, ranging from understanding the pathogens responsible to comprehending the complexities of global disease transmission. This is particularly pertinent given the enduring presence of severe endemic diseases and those of pandemic potential, particularly originating from zoonotic infectious diseases.

Accordingly, harmonizing diverse data resources scattered among different silos yields valuable insights into the complex interplay of multiple factors that influence the emergence and spread of infectious diseases, thereby promoting scholarly discourse and knowledge exchange across various research domains and stakeholders. However, to fully capitalize on these opportunities, researchers need collaborative data platforms and tools that allow for effective operation at the intersection of different fields. The project "Data Snack" is designed to address this need.

Data Snack aims to facilitate digital ecosystems to strengthen interdisciplinary data collaboration towards a better understanding of infectious disease dynamics and outbreak risks in the One Health nexus. Its central feature is a novel geographic information system (GIS) that brings together, harmonizes, and processes health and open socio-ecological context data, primarily designed for epidemiological analyses. To facilitate its transfer into practice, Data Snack's objectives are

1. to (re-)evaluate user needs from Global Health research and action, and to boost the usability of the system
2. to develop a data integration interface in line with common data practice of different fields of Global Health
3. to create technical interfaces for the utilization of harmonized data, such as through a collaborative data repository or interoperability with commonly used analysis software

For more information, visit:

Data Hub Framework (open source basic framework)
https://github.com/datasnack/datahub

Public Use Case Ghana (open source use case framework)
https://github.com/datasnack/dh-ghana

Documentation & Ghana Demo Data Hub
https://datasnack.org/  I  https://demo.datasnack.org/

Data Snack builds on the pre-prototypical outputs of the ESIDA research network (Epidemiological Surveillance for Infectious Diseases in sub-Saharan Africa), which are licensed under CC BY 4.0 (concept: DOI 10.5281/zenodo.7322396) and MIT (software approach: ESIDA Module 4).

Over a period of two years, the team will be funded and supported by the Innovation Academy of the Joachim Herz Foundation in order to transfer the software approach into a sustainable application for applied infectious disease research. From the beginning, the project team is working closely with potential user groups, primarily stakeholders in global health research and outbreak preparedness and response.

For more details on the Joachim Herz Foundation's initiative visit their website.