AI Article Synopsis
- Data sharing allows research communities to enhance knowledge by exchanging findings, particularly in public health and food safety during emergencies.
- Challenges such as ethics, regulations, and a lack of proper platforms hinder effective data sharing, often limiting it to supplementary materials in research publications.
- The described informatics platform aims to address these issues by providing structured data storage, management, and pre-publication sharing processes for pathogen sequencing data and its analyses.
Article Abstract
Data sharing enables research communities to exchange findings and build upon the knowledge that arises from their discoveries. Areas of public and animal health as well as food safety would benefit from rapid data sharing when it comes to emergencies. However, ethical, regulatory and institutional challenges, as well as lack of suitable platforms which provide an infrastructure for data sharing in structured formats, often lead to data not being shared or at most shared in form of supplementary materials in journal publications. Here, we describe an informatics platform that includes workflows for structured data storage, managing and pre-publication sharing of pathogen sequencing data and its analysis interpretations with relevant stakeholders.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927095 | PMC |
| http://dx.doi.org/10.1093/database/baz136 | DOI Listing |
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