Accessing Reproducible Datasets From Synapse as Part of Integrated Workflow
In this lesson, while learning about the need for increased large-scale collaborative science that is transparent in nature, users also are given a tutorial on using Synapse for facilitating reusable and reproducible research.
- FAIR science principles
- Collaborative science
- Data curation and management
- Synapse API demo
This workshop demonstrates how to work with the Synapse platform, and will use push and pull data to the synapse platform for sharing biomedical datasets using the
synapseClient python package. In order to be able to run all the commands in the tutorial, a "verified" synapse account is required. For those who are not able to create an account or get certified, the instructor will cover the concepts for tractable data analysis that can still be generally applicable beyond the Synapse platform.
Getting a Verified Account is a two step process.
- Step 1: Create an account on synapse - https://www.synapse.org/#!RegisterAccount:0
- Step 2: Become Certified (allows to upload data to synapse) by passing the synpase quiz to show you understand data use principles - https://www.synapse.org/#!Quiz:Certification