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update with FluSight hubverse template
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# FluSight-forecast-hub | ||
# FluSight 2023-2024 | ||
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## Updates to follow for 2023-2024 season | ||
This repository is designed to collect forecast data for the 2023-2024 FluSight collaborative exercise run by the US CDC. This project collects forecasts for weekly new hospitalizations due to confirmed influenza. |
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# Hub metadata | ||
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This folder should contain configuration files for the Hub, following the recommended [Hub metadata guidelines in our documentation](https://hubdocs.readthedocs.io/en/latest/format/hub-metadata.html). |
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{ | ||
"schema_version": "https://raw.githubusercontent.com/Infectious-Disease-Modeling-Hubs/schemas/main/v1.0.0/admin-schema.json", | ||
"name": "US CDC FluSight", | ||
"maintainer": "US CDC", | ||
"contact": { | ||
"name": "Rebecca Borchering", | ||
"email": "[email protected]" | ||
}, | ||
"repository_host": "GitHub", | ||
"repository_url": "https://github.com/Infectious-Disease-Modeling-Hubs/FluSight-hubverse", | ||
"file_format": ["csv"], | ||
"timezone": "US/Eastern" | ||
} |
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{ | ||
"$schema": "https://json-schema.org/draft/2020-12/schema", | ||
"title": "Schema for Modeling Hub model metadata", | ||
"description": "This is the schema for model metadata files, please refer to https://github.com/covid19-forecast-hub-europe/covid19-forecast-hub-europe/wiki/Metadata for more information.", | ||
"type": "object", | ||
"properties": { | ||
"schema_version": { | ||
"type": "string", | ||
"format": "uri" | ||
}, | ||
"team_name": { | ||
"description": "The name of the team submitting the model", | ||
"type": "string" | ||
}, | ||
"team_abbr": { | ||
"description": "Abbreviated name of the team submitting the model", | ||
"type": "string", | ||
"pattern": "^[a-zA-Z0-9_+]+$", | ||
"maxLength": 16 | ||
}, | ||
"model_name": { | ||
"description": "The name of the model", | ||
"type": "string" | ||
}, | ||
"model_abbr": { | ||
"description": "Abbreviated name of the model", | ||
"type": "string", | ||
"pattern": "^[a-zA-Z0-9_+]+$", | ||
"maxLength": 16 | ||
}, | ||
"model_version": { | ||
"description": "Identifier of the version of the model", | ||
"type": "string" | ||
}, | ||
"model_contributors": { | ||
"type": "array", | ||
"items": { | ||
"type": "object", | ||
"properties": { | ||
"name": { | ||
"type": "string" | ||
}, | ||
"affiliation": { | ||
"type": "string" | ||
}, | ||
"orcid": { | ||
"type": "string", | ||
"pattern": "^\\d{4}\\-\\d{4}\\-\\d{4}\\-[\\dX]{4}$" | ||
}, | ||
"email": { | ||
"type": "string", | ||
"format": "email" | ||
}, | ||
"twitter": { | ||
"type": "string" | ||
}, | ||
"additionalProperties": false | ||
} | ||
} | ||
}, | ||
"website_url": { | ||
"description": "Public facing website for the model", | ||
"type": "string", | ||
"format": "uri" | ||
}, | ||
"repo_url": { | ||
"description": "Repository containing code for the model", | ||
"type": "string", | ||
"format": "uri" | ||
}, | ||
"license": { | ||
"description": "License for use of model output data", | ||
"type": "string", | ||
"enum": [ | ||
"CC0-1.0", | ||
"CC-BY-4.0", | ||
"CC-BY_SA-4.0", | ||
"PPDL", | ||
"ODC-by", | ||
"ODbL", | ||
"OGL-3.0" | ||
] | ||
}, | ||
"include_viz": { | ||
"description": "Indicator for whether the model should be included in the Hub’s visualization", | ||
"type": "boolean" | ||
}, | ||
"include_ensemble": { | ||
"description": "Indicator for whether the model should be included in the Hub’s ensemble", | ||
"type": "boolean" | ||
}, | ||
"include_eval": { | ||
"description": "Indicator for whether the model should be scored for inclusion in the Hub’s evaluations", | ||
"type": "boolean" | ||
}, | ||
"citation": { | ||
"description": "One or more citations for this model", | ||
"type": "string", | ||
"examples": "Gibson GC , Reich NG , Sheldon D. Real-time mechanistic bayesian forecasts of Covid-19 mortality. medRxiv. 2020. https://doi.org/10.1101/2020.12.22.20248736" | ||
}, | ||
"team_funding": { | ||
"description": "Any information about funding source for the team or members of the team.", | ||
"type": "string", | ||
"examples": "National Institutes of General Medical Sciences (R01GM123456). The content is solely the responsibility of the authors and does not necessarily represent the official views of NIGMS." | ||
}, | ||
"model_details": { | ||
"description": "Structured information about the model", | ||
"type": "object", | ||
"properties": { | ||
"data_inputs": { | ||
"description": "List or description of data inputs used by the model", | ||
"type": "string" | ||
}, | ||
"methods": { | ||
"description": "A brief (200 char.) description of the methods used by this model", | ||
"type": "string", | ||
"maxLength": 200 | ||
}, | ||
"methods_long": { | ||
"description": "A full description of the methods used by this model.", | ||
"type": "string" | ||
} | ||
}, | ||
"additionalProperties": false, | ||
"required": ["data_inputs", "methods"] | ||
}, | ||
"ensemble_of_hub_models": { | ||
"description": "Indicator for whether this model is an ensemble of other Hub models", | ||
"type": "boolean" | ||
} | ||
}, | ||
"additionalProperties": true, | ||
"required": [ | ||
"schema_version", | ||
"team_name", | ||
"team_abbr", | ||
"model_name", | ||
"model_abbr", | ||
"model_contributors", | ||
"license", | ||
"model_details" | ||
] | ||
} |
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