CCDL Virtual Training

The Childhood Cancer Data Lab (CCDL) develops tools and training programs to empower childhood cancer researchers to utilize data to make more robust discoveries. The Childhood Cancer Data Lab is an initiative of Alex's Lemonade Stand Foundation.

2021 September Training

Dates: 2021-09-20 through 2021-09-24

Getting Started

Pre-workshop Prep

• Please review the Code of Conduct.
• If you are new to using R, we've assembled some resources for getting starting with R that can optionally help prepare you for the workshop.
• Please install the required software and take a look at how we intend to use during the workshop (see below).
• Sign up for the Cancer Data Science Slack workspace at http://ccdatalab.org/slack. Please use your full name in your profile, so we can find you easily and add you to the private meeting channel.
• Once you have been given your username and temporary password, follow these instructions to log in to our RStudio server and change your password.

Please take a look at our procedures to familiarize yourself with how we will be using these platforms throughout training:

• Zoom procedures
• Slack procedures

Schedule

For more details on the schedule for each day, click here.

Workshop Structure

A description of our plans and goals for the workshop can be found on the Workshop Structure document. Please also refer to the schedule for information about timing and links relevant to each day. An overview of the modules we will cover and associated links can be found on the Workshop Materials document.

During instruction sessions, CCDL staff will lead you through course material using Zoom procedures, Slack procedures, and RStudio Server. We will record instruction and provide it to workshop attendees so they can revisit it outside of workshop hours or in case they experience disruptions during live instruction.

During consultation sessions, CCDL staff will be available to answer questions and provide 1:1 assistance as you work through exercise notebooks we provide or work with your own transcriptomic data. We’ll use Zoom and Slack for these days, too.

We recommend you follow these posting errors help guidelines so you can maximize others' abilities to help you resolve your error.