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Introduction materials for Reproducible Research Curriculum
Read the Fine Print
Rating
0.0 stars

Workshop goals
- Why are we teaching this
- Why is this important
- For future and current you
- For research as a whole
- Lack of reproducibility in research is a real problem

Materials and how we'll use them
- Workshop landing page, with

- links to the Materials
- schedule

Structure oriented along the Four Facets of Reproducibility:

- Documentation
- Organization
- Automation
- Dissemination

Will be available after the Workshop

How this workshop is run
- This is a Carpentries Workshop
- that means friendly learning environment
- Code of Conduct
- active learning
- work with the people next to you
- ask for help

Subject:
Applied Science
Information Science
Material Type:
Module
Author:
Kristina Riemer
Mine Çetinkaya-Rundel
Pat Schloss
Paul Magwene
Date Added:
08/07/2020
Introduction to Geospatial Raster and Vector Data with R
Unrestricted Use
CC BY
Rating
0.0 stars

Data Carpentry lesson to open, work with, and plot vector and raster-format spatial data in R. The episodes in this lesson cover how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data.

Subject:
Applied Science
Computer Science
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Author:
Ana Costa Conrado
Angela Li
Anne Fouilloux
Brett Lord-Castillo
Ethan P White
Joseph Stachelek
Juan F Fung
Katrin Leinweber
Klaus Schliep
Kristina Riemer
Lachlan Deer
Lauren O'Brien
Marchand
Punam Amratia
Sergio Marconi
Stéphane Guillou
Tracy Teal
zenobieg
Date Added:
08/07/2020
Reproducible Science Curriculum Lesson for Literate Programming
Read the Fine Print
Rating
0.0 stars

Workshop goals
- Why are we teaching this
- Why is this important
- For future and current you
- For research as a whole
- Lack of reproducibility in research is a real problem

Materials and how we'll use them
- Workshop landing page, with

- links to the Materials
- schedule

Structure oriented along the Four Facets of Reproducibility:

- Documentation
- Organization
- Automation
- Dissemination

Will be available after the Workshop

How this workshop is run
- This is a Carpentries Workshop
- that means friendly learning environment
- Code of Conduct
- active learning
- work with the people next to you
- ask for help

Subject:
Applied Science
Information Science
Material Type:
Module
Author:
Ciera Martinez
Courtney Soderberg
Hilmar Lapp
Jennifer Bryan
Kristina Riemer
Naupaka Zimmerman
Date Added:
08/07/2020
Reproducible Science Curriculum Lesson for Organization
Read the Fine Print
Rating
0.0 stars

Workshop goals
- Why are we teaching this
- Why is this important
- For future and current you
- For research as a whole
- Lack of reproducibility in research is a real problem

Materials and how we'll use them
- Workshop landing page, with

- links to the Materials
- schedule

Structure oriented along the Four Facets of Reproducibility:

- Documentation
- Organization
- Automation
- Dissemination

Will be available after the Workshop

How this workshop is run
- This is a Carpentries Workshop
- that means friendly learning environment
- Code of Conduct
- active learning
- work with the people next to you
- ask for help

Subject:
Applied Science
Information Science
Material Type:
Module
Author:
Ciera Martinez
Courtney Soderberg
Hilmar Lapp
Jennifer Bryan
Kristina Riemer
Naupaka Zimmerman
Date Added:
08/07/2020
datacarpentry/semester-biology: v4.1.0 - Journal of Open Source Education Submission
Unrestricted Use
CC BY
Rating
0.0 stars

Data Carpentry for Biologists is a set of teaching materials for teaching biologists how to work with data through programming, database management and computing more generally.

This repository contains the complete teaching materials (excluding exams and answers to assignments) and website for a university style and self-guided course teaching computational data skills to biologists. The course is designed to work primarily as a flipped classroom, with students reading and viewing videos before coming to class and then spending the bulk of class time working on exercises with the teacher answering questions and demoing the concepts.

More information can be found on the project's GitHub page: https://github.com/datacarpentry/semester-biology/tree/v4.1.0

Subject:
Applied Science
Biology
Information Science
Life Science
Material Type:
Full Course
Lecture Notes
Primary Source
Author:
Andrew J
David J
Ethan P
Kristina Riemer
Morgan Ernest
S K
Sergio Marconi
Virnaliz Cruz
Zachary T
Date Added:
01/04/2022