Curated datasets summarize consensus knowledge and enhance data re-use and integration. Resources range from single tables with manual annotations to large aggregations that integrate results from several sources. In this ecosystem, the small-scale resources represent the first lines of effort in converting raw inputs, often from cutting-edge technologies, into reliable knowledge. However, despite the importance of this effort, it is currently difficult for first-time entrants to begin a new curation project, especially one requiring contributions from multiple individuals. Such initiatives would benefit from flexible and interactive tools that can be deployed by more than one research group.
The 'NetworkCurator' platform was created to build, curate, and share biological datasets through team collaboration. The web-based platform is focused on networks, which can capture and visualize interconnections between data components. Established applications include gene-gene interaction networks, but can also extend to clinical, pharmacological, genomic, or multi-omic domains. The NetworkCurator supports flexible data types and emphasizes the collaborative and iterative aspects of curation. It thus supports tiered (including private) access and manages contributor roles within teams. It also provides a content management system that attaches version-controlled annotations to all nodes and links. Innovative features include the ability to create interactive visualizations within the annotations.
Example site: https://www.screensignatures.org/