model-metadata

Model Metadata

This folder contains metadata files for each team-models submitting to the RSV Scenario Modeling Hub.

Each model is required to have metadata in yaml format and should contains required information and be stored in a team-model specific sub-directory.

---

Subdirectory

Each sub-directory within the model-metadata/ directory has the format:

team-model

where

• team is the abbraviated teamname (team_abbr) and
• model is the abbreviated name of your model (model_abbr).

Both team and model should be less than 15 characters, and not include hyphens nor spaces.

The team-model should correspond to the team-model sub-directory in the associated model-output folder containing the associated projections.

---

Required information

team_name

The name of your team that is less than 50 characters, no spaces. Will be displayed online.

model_name

The name of your model that is less than 50 characters, no spaces. Will be displayed online.

Abbreviation

model_abbr

An abbreviated name for your model that is less than 30 alphanumeric characters (_ also accepted, please avoid using other punctuation characters including -, /, etc.).

team_abbr

An abbreviated name for your team that is less than 30 alphanumeric characters. (_ also accepted, please avoid using other punctuation characters including -, /, etc.).

Team-model name and filename

The team-model abbreviation used in all the file names must be in the format of [team_abbr]-[model_abbr], where each of the [team_abbr] and [model_abbr] are text strings that are each less than 15 alphanumeric characters that do not include a hyphen or whitespace.

Note that this is a uniquely identifying field in our system, so please choose this name carefully, as it may not be changed once defined. The model abbreviation will be displayed online.

model_contributors

A list of all individuals involved in the forecasting effort, affiliations, and email address.

At least one contributor needs to have a valid email address. All email addresses provided will be added to an email distribution list for model contributors.

The syntax of this field should be

[
  {
    "name": "LastName FirstName",
    "affiliation": "Affiliation",
    "email": "user@address"
  },
  {
   "name": "LastName FirstName",
    "affiliation": "Affiliation"
  },
  {
    "name": "LastName FirstName",
    "affiliation": "Affiliation",
    "email": "user3@address"
  }
]

website_url

A url to a website that has additional data about your model. We encourage teams to submit the most user-friendly version of your model, e.g. a dashboard, or similar, that displays your model scenarios.

If you have additionally a data repository where you store scenarios and other model code, please include that in your methods section below.

If you only have a more technical site, e.g. github repo, please include that link here. Will be displayed online.

model_version

A version number or date in YYYY-MM-DD format, to designate the version of the model used for submitted model projections. Will be displayed online.

methods

A brief description of your methodology that is less than 200 characters. Will be displayed online.

license

We encourage teams to submit as a "cc-by-4.0" to allow the broadest possible uses including private vaccine production (which would be excluded by the "cc-by-nc-4.0" license).

Alternatively, add the name and URL of the license used, as in cc-by-4.0, https://creativecommons.org/licenses/by/4.0/ Or, add the value LICENSE.txt, if a LICENSE.txt file was added within the folder.

Will be displayed online.

Optional

team_funding

Acknowledgement of funding source, by name of funding agency, grant title, and grant number.

data_inputs

A brief description of the data sources used to inform the model, using as much as possible standard terminology that includes a source name and the type of data, such as CDC RSV-NET, etc.

methods_long

A long description of your methodology.

citation

A bibliographic citation to a paper, website, or other object that people can go to to find out more about the model, in the style used by PubMed, as "Smith J, Smith S, Smith C. MyModel is the best model. Nature. 2020 Aug. doi: 10.1038/s12345-678-90123-45."