**Below is a template of the README.md file for your hub. Italics in brackets are placeholders for information about your hub. **
[Describe overall purpose of hub.] Anyone interested in using these data for additional research or publications is requested to contact [insert email] for information regarding attribution of the source forecasts.
[Describe forecasts ]
Dates: The Challenge Period will begin [insert start date] and will run until [insert start date]. Participants are currently asked to submit [insert description of forecasts] by [insert timing] .(herein referred to as the Forecast Due Date). In the event that timelines of data availability change, [insert name of hub] may change the day of week that forecasts are due. In this case, participants would be notified at least one week in advance. [insert temporal period] submissions (including file names) will be specified in terms of the reference date, which is the Saturday following the Forecast Due Date. The reference date is the last day of the epidemiological week (EW) (Sunday to Saturday) containing the Forecast Due Date.
Prediction Targets: Participating teams are asked to provide [insert geographical requirements] predictions for targets [insert name of target(s)].
Teams will submit [insert description of forecasts] for the epidemiological week (EW) ending on the reference date as well as [insert horizons]. Teams can but are not required to submit forecasts for all [insert temporal period] horizons or for all locations. The evaluation data for forecasts will be the [insert temporal period] aggregate of [insert description of evaluation data] We will use the specification of EWs defined by the CDC, which run Sunday through Saturday. The target end date for a prediction is the Saturday that ends an EW of interest, and can be calculated using the expression: target end date = reference date + horizon * ([insert # days in temporal period] days).
There are standard software packages to convert from dates to epidemic weeks and vice versa (e.g. MMWRweek and lubridate for R and pymmwr and epiweeks for Python).
If you have questions aboutthis target, please reach out to [insert name] ([insert email] ).
This repository follows the guidelines and standards outlined by the hubverse, which provides a set of data formats and open source tools for modeling hubs.
**As an example, here is the link to Flusight-Forecast_Hub README. **