ml-lab / librarian_led_data_scientist_training

Collaborative Computational Development, or, How to Run an NCBI-Style Hackathon

Designing a Curriculum for Collaborative Computational Development

A curriculum for data librarians to teach data scientists about data discovery, transfer, and management

Objective:

To develop a general curriculum for collaboratively developing computational biology pipelines

Our Plan:

• Observe groups/projects over time, especially
• How objectives change over time
• The skills / software / processes required
• How groups communicate, interact

Deliverables:

Github repo with notes + an article

• Learning objectives
• Required expertise
• Some intangibles about human behavior and interactions

Table of Contents

For a draft online hackathon how-to textbook

Part One: Introduction

• Context and background
• Learning objectives

Part Two: Planning and Processes

• Pre-hackathon planning and team assignment

Part Three: Computing and Technical Issues

• Infrastructure
• Tools and technologies

Part Four: People and Teams

• Team composition and roles
• Roles for librarians

Part Five: Outputs and Documentation