Schools of Research Data Science
CODATA-RDA
Marcela Alfaro Córdoba, Ph.D.
What are we going to talk about?
- Discuss workflows for academic publishing
- Connect those workflows with the tools you are going to learn in this school
- What is ORCID and why you need one.
Workflows
- What’s your workflow?
- If you could describe your workflow for Discovery - Analysis - Writing - Publication - Outreach - Assessment, how would it look like? Draw one and have it ready to share.
- In pairs: how does your workflow look like compared to your peers? Have a discussion about the differences, advantages and disadvantages.
Reproducible Reports
![]()
https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html
What changed?
![]()
https://the-turing-way.netlify.app/_images/reproducibility.jpg
Why do we want to work on repro-mode?
![]()
https://the-turing-way.netlify.app/reproducible-research/overview/overview-benefit.html
What is the relationship with SoRDS?
- Version control (git with GitHub, GitLab, BitBucket) - Week 2
- R or Python (open source) - Week 3
- JSON, csv, or any other generic formats for data - Week 1,3 and 6
- Reproducibility will be a common topic for all the 8 weeks: ML, NN, Visualization, Inf Security and Computational Structures
Schedule
- W1: Intro + Open and Responsible Science + RDM + Train the trainer
- W2: Unix and Git
- W3: R for Social Sciences OR for Biological Sciences
- W4: ML and Recommender Systems
- W5: Neural Networks
- W6: Visualization
- W7: Information Security
- W8: Computational Infrastructures
ORCID
- What is ORCiD and why do you need one?
- How to create your ORCiD?
- Instructions to create one: here
- Instructions to populate ORCiD: here
- Already have it? Connect it with Science Open (if you want) here
- We recommend you to create one now, it will make your publication process easier.
