VirDB: Crowdsourced database for evaluation of dynamical viral infection models

(E-pub Abstract Ahead of Print)

Author(s): Szymon Wasik*, Marcin Jaroszewski, Mateusz Nowaczyk, Natalia Szostak, Tomasz Prejzendanc, Jacek Blazewicz.

Journal Name: Current Bioinformatics

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Abstract:

Open science is an emerging movement underlining the importance of transparent, high quality research which 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 occurs also 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 conducted correctly. Here, 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. 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 been already proved to be very successful in projects such as Wikipedia.

Keywords: viral dynamics, database, open science, evaluation, viral infections modelling, bioinformatics

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Article Details

(E-pub Abstract Ahead of Print)
DOI: 10.2174/1574893614666190308155904
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