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Introduction
What is pathogen characterisation data, and why is it important for infectious diseases research?
Topic 1
Short explanation of what this topic is about and why it is important, with an emphasis on infectious diseases and the category that you selected.
Considerations
Using a bullet point style list format as much as possible, describe the considerations for your topic that are specific to infectious diseases within the category (e.g. pathogen characterisation) that you have selected.
Please avoid replicating ‘generic’ guidelines, i.e. those not specific to infectious diseases, here. Add links to RDMkit in the metadata above, if any are needed.
Existing approaches
Mention existing approaches related to the topic.
Topic 2
Short explanation of what this topic is about and why it is important, with an emphasis on infectious diseases and the category that you selected.
Considerations
Using a bullet point style list format as much as possible, describe the considerations for your topic that are specific to infectious diseases within the category (e.g. pathogen characterisation) that you have selected.
Please avoid replicating ‘generic’ guidelines, i.e. those not specific to infectious diseases, here. Add links to RDMkit in the metadata above, if any are needed.
Existing approaches
Mention existing approaches related to the topic.
Standards, schemas, ontologies and vocabularies
List of standards, schemas, ontologies and/or vocabularies that are relevant to the resources in this category. Consider having links to the “Data description” page. When applicable, consider adding the appropriate FAIRsharing entry to the tools and resources spreadsheet so that they can be listed and appropriately tagged at the end of the page
Considerations
Using a bullet point style list format as much as possible, describe the considerations for your topic that are specific to infectious diseases within the category (e.g. pathogen characterisation) that you have selected.
Please avoid replicating ‘generic’ guidelines, i.e. those not specific to infectious diseases, here. Add links to RDMkit in the metadata above, if any are needed.
Existing approaches
Mention existing approaches related to the topic.
Mention existing approaches related to the topic.
Licenses
Under what licenses do the data sources work?
Considerations
Using a bullet point style list format as much as possible, describe the considerations for your topic that are specific to infectious diseases within the category (e.g. pathogen characterisation) that you have selected.
Please avoid replicating ‘generic’ guidelines, i.e. those not specific to infectious diseases, here. Add links to RDMkit in the metadata above, if any are needed.
Existing approaches
Mention existing approaches related to the topic.
Existing data sources
Using bullet point list style as much as possible, describe when, why and for what purpose a specific data source should be used.
Please avoid replicating ‘generic’ guidelines, i.e. those not specific to infectious diseases, here.
Avoid making long lists of links to data sources.
The data sources inserted in this section do not have to be considered a ‘final’ or ‘perfect’ solution, but should be something that is used by the wider community working in this area or topic.
Make sure to add the data sources mentioned in the text in the main “tools and resources” table.
More information
Skip national tools tableNational resources
Tools and resources tailored to users in different countries.
Tool or resource | Description | Related pages | Registry |
---|---|---|---|
Swiss Pathogen Surveillance Platform (SPSP) | SPSP is a secure One-health online platform that enables near real-time sharing under controlled access of pathogen genomic data and their associated clinical/epidemiological metadata. During COVID-19, it served as the Swiss SARS-CoV-2 genomic data hub, collecting data, annotating it, communicating reports to the federal public health authorities and openly re-sharing anonymised data on the Covid-19 Data Platform. |
Pathogen characterisation Pathogen characterisation |