This is the central hub for information pertaining to ESIIL Collaboration

Welcome to the Brian Yandell repository, part of the Environmental Data Science Innovation and Inclusion Lab (ESIIL). This repository serves as the central hub for our research at ESIIL, hosting your project description, proposals, bio, codebase, and more.

Involved with Maka Sitomniya Working Group with goal to collaboration on development of a data cube.

[Link to the detailed project proposal document or include the proposal directly in the repository. This should outline the goals, methodologies, anticipated challenges, and projected timelines.]

[List the names and a brief description of people you work with, possibly linking to their personal or professional web pages.]

• Collaborator 1: Brief description.
• Collaborator 2: Brief description.
• ...

This section of the repository will include all the code developed for the project. You can structure it as follows:

• Analysis Code: Scripts for data analysis, statistical modeling, etc.
• Data Processing: Scripts for cleaning, merging, and managing datasets.
• Visualization: Code for creating figures, charts, and interactive visualizations.

When you meet with your advisor, collaborators, or a team, you should take notes here.

To maintain the quality and integrity of the repository, please adhere to the following guidelines:

• Make sure all commits have a clear and concise message.
• Document any major changes or decisions in the meeting notes.
• Review and merge changes through pull requests to ensure oversight.

If you encounter any issues or have questions about how to contribute, please refer to the ESIIL Support Page or contact the repository maintainers directly.

As a new working group, you'll want to make this repository your own. Here's how to get started:

1. Edit This Readme: Replace the placeholder content with information about your specific project. Ensure that the introduction, project overview, and objectives clearly reflect your group's research focus.

2. Update Bio: Add details about your expertise, role in the project, and professional background. Include links to personal or professional web pages to foster community engagement and collaboration.

3. Organize Your Code: Structure your codebase in a way that is logical and accessible. Use directories and clear naming conventions to make it easy for all members to find and contribute to different parts of the project.

4. Document Your Data: Include a data directory with README files explaining the datasets, sources, and any preprocessing steps. This will help new members understand and work with the project's data effectively.

5. Outline Your Methods: Create a detailed METHODS.md file where you describe the methodologies, software, and tools you will be using in your research. This transparency will support reproducibility and collaborative development.

6. Set Up Project Management: Utilize the 'Issues' and 'Projects' features on GitHub to track tasks, discuss ideas, and manage your workflow. This can help in maintaining a clear view of progress and priorities.

7. Add a License: Choose and include an appropriate open-source license for your project, ensuring that the broader community understands how they can use and contribute to your work.

8. Create Contribution Guidelines: Establish a CONTRIBUTING.md file with instructions for members on how to propose changes, submit issues, and contribute code.

9. Review and Merge Workflow: Decide on a workflow for reviewing and merging changes. Will you use branch protection? Who will have merge privileges? Document this process to avoid confusion.

10. Establish Communication Channels: Beyond GitHub, set up additional communication channels like Slack, Discord, or email lists for quick and informal discussions.

Remember, the goal is to make your repository clear, accessible, and useful for all current and future members of your working group. Happy researching!