alan-turing-institute / data-training-for-bioscience

Introduction to Data Science Project Management for Project Leaders.

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Collect references for this project #1

Open malvikasharan opened 2 years ago

malvikasharan commented 2 years ago

Summary

List any relevant documents or resources that will be useful in the development of this project

Turing resources

The Turing Way materials: https://the-turing-way.netlify.app/welcome
RSE4DataScience: https://github.com/alan-turing-institute/RSE4DataScience18
RDS course - under development: https://github.com/alan-turing-institute/rds-course
Data Science Skills: https://github.com/alan-turing-institute/DataScienceSkills
RSE Summer School: https://github.com/alan-turing-institute/DH-RSE-Summer-School

Carpentries Resources

Genomics Lessons: https://datacarpentry.org/lessons/#genomics-workshop
Ecology Lessons: https://datacarpentry.org/lessons/#ecology-workshop

Crick institute

Request for links to materials or resources for reuse

malvikasharan commented 2 years ago

RDA-CODATA Summer School: https://github.com/CODATA-RDA-DataScienceSchools (Check with Patricia H. and DCC)
Check with Life Science training network

malvikasharan commented 2 years ago

EMBL-EBI resources: https://competency.ebi.ac.uk/

The UX aspect of this resource is also quite great.

Lisanna commented 2 years ago

I think this issue (and task) should be divided into two lists of references. 1) Landscape analysis: what is the current offer for someone that looks for training in Data Science? What pops up when you Google for it? And in YouTube? Which are the search keywords? This should be done before starting to develop materials and even deciding the specific topics, in my opinion. 2) General references, collected and used during the course development, linked also to the project partners. Most of the links here belong to this second list.

malvikasharan commented 2 years ago

Good point! I definitely am mixing them both here. Landscape analysis can be a combination of resources we would want to use as well as examples of resources that are not effectively used (or that are not designed well) by the new learners with bioscience backgrounds.

Lisanna commented 2 years ago

Open, Data-driven Science for Decision Makers

malvikasharan commented 2 years ago

https://twitter.com/EBItraining/status/1427197636730306563?s=20

malvikasharan commented 2 years ago

Cambridge courses:

https://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-python/
Data science in Python: https://training.csx.cam.ac.uk/bioinformatics/event/3748813

malvikasharan commented 2 years ago

API and biocuration: https://github.com/malvikasharan/2019-Biocuration-Module-2

API: EBI version of databases - proteins
Feattures: localization, pathways, intact (do two proteins interact?)

malvikasharan commented 2 years ago

Shared by @fedenanni: https://alan-turing-institute.github.io/rds-course/modules/m1/1.1-WhatIsDataScience.html