Главная
Study mode:
on
1
Introduction
2
Motivations
3
Publishing Code
4
Scientists are not software engineers
5
Why release code
6
Replication vs reproduction
7
Best Practices
8
Versioning in R
9
Code Review
10
Code Repository
11
GitHub
12
GitHub Repository
13
Readme File
14
License File
15
GitHub Interface
16
Pipeline
17
DOI
18
NODO
19
Logging into NODO
20
Uploading to GitHub
21
Editing the metadata
22
Questions
23
Why Publish
24
Desk Rejection
25
Finding Reviewers
26
How long is typical
27
Journal guidelines
28
Review
29
Preprints
Description:
Explore a comprehensive lecture from the Serrapilheira/ICTP-SAIFR Training Program in Quantitative Ecology, focusing on the quantitative foundations of ecological and evolutionary studies. Delve into crucial topics such as motivations for publishing code, best practices in scientific software development, and the importance of reproducibility in research. Learn about version control in R, code review processes, and how to effectively use GitHub for code repositories. Discover the significance of proper documentation, including README files and licensing. Gain insights into the scientific publishing process, including desk rejections, finding reviewers, and journal guidelines. Understand the role of preprints in modern scientific communication. This lecture, delivered by experts from Georgia Tech, provides valuable knowledge for researchers and students in quantitative ecology and related fields.

Quantitative Foundations of Ecological and Evolutionary Research - Class 11

ICTP-SAIFR
Add to list
0:00 / 0:00