Background: Open science is an emerging movement underlining the importance of
transparent, high quality research where results can be verified and reused by others. However, one
of the biggest problems in replicating experiments is the lack of access to the data used by the authors.
This problem also occurs during mathematical modeling of a viral infections. It is a process
that can provide valuable insights into viral activity or into a drug’s mechanism of action when
Objective: We present the VirDB database (virdb.cs.put.poznan.pl), which has two primary objectives.
First, it is a tool that enables collecting data on viral infections that could be used to develop
new dynamic models of infections using the FAIR data sharing principles. Second, it allows storing
references to descriptions of viral infection models, together with their evaluation results.
Method: To facilitate the fast population of database and the ease of exchange of scientific data,
we decided to use crowdsourcing for collecting data. Such approach has already been proved to be
very successful in projects such as Wikipedia.
Conclusion: VirDB builds on the concepts and recommendations of Open Science and shares data
using the FAIR principles. Thanks to this storing data required for designing and evaluating models
of viral infections which can be freely available on the Internet.