TOPS-T SCHOOL Community Module and Sphinx Repositories
Authors/Creators
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1.
National Louis University
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2.
Columbia University
- 3. ISciences, LLC
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4.
Baruch College
Description
Welcome SCHOOL: Community Modules
Welcome to the Community Generated module of the SCHOOL curriculum!
The Science Core Heuristics for Open Science Outcomes in Learning (SCHOOL) is part of the NASA Transform to Open Science (TOPS) Training (TOPST) initiative, designed to teach the data science lifecycle using data from the NASA Earth Sciences division and to foster an inclusive culture of open science. You can learn more about the SCHOOL Project and other modules on the SCHOOL Project home page.
This module is tailored to instruct undergraduate students and early-career researchers with some coding language exposure about the data science life cycle, illustrating how Open Science principles can be effectively applied to earth sciences, particularly in the context of water.
The SCHOOL Modules do not intend to teach all-encompassing earth science lessons nor provide learners with total coding expertise. Instead, the SCHOOL Project aims to provide users with the skills to adapt the SCHOOL lessons to the users’ own Open Science workflow. To learn more about Open Science, explore NASA’s TOPS Open Science 101 Curriculum. To explore other themes in the SCHOOL project, visit our Modules Page.
Community Generated: Multi-Hazards
This lesson showcases community-generated lessons that demonstrate different aspects of the data science life cycle.
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Lesson 1: Mapping Wildfire Burned Areas Using VIIRS/AVIRIS-3 Data (Python)
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Lesson 2: The Major Effects of Climate Change Towards the Arctic Ecosystem (Python)
This course was made possible thanks to the work of our NASA Transform to Open Science (TOPS) team, our SCHOOL Open Science team, open science Subject Matter Experts (SMEs), and the SCHOOL Development team!
TOPSTSCHOOL Sphinx (Documentation)
Science Core Heuristics for Open Science Outcomes in Learning (SCHOOL) is part of the NASA's Transform to Open Science Training initiative, designed to generate an inclusive culture of open science. The SCHOOL curriculum consists of five 2.5-hour open, interactive, and interdisciplinary learning modules covering an array of lessons across the thematic areas of water, health and air quality, environmental justice, natural disasters, climate, agriculture, and wildfires, integrating themes of population and infrastructure across the modules. Within the modules, lessons in Earth Science Applications use cases demonstrate how to access and analyze data sources in open data science lifecycle workflows focusing on FAIR principles for scientific data management.
Project announcements: TOPSTSCHOOL.
Open Science Team Member Contributors
- Stevaughn Borders, Undergraduate Student, National Louis University
- Miguel Dominguez, Undergraduate Student, National Louis University
- Gianna Dubinksi, Undergraduate Student, National Louis University
- Mykola Dydych, Undergraduate Student, National Louis University
- David Fonseca, Undergraduate Student, National Louis University
- Daisy Guzman, Undergraduate Student, National Louis University
- Khateeja Khatoon, Undergraduate Student, National Louis University
- Diego Lozano, Undergraduate Student, National Louis University
- Ulugbek Medetov, Undergraduate Student, National Louis University
- Enxhi Merkaj, Undergraduate Student, National Louis University
- Steven Sanchez, Undergraduate Student, National Louis University
- Francisco Sanchez, Undergraduate Student, National Louis University
- Alexandr Smagin, Undergraduate Student, National Louis University
- Crystal Villa, Undergraduate Student, National Louis University
- Buzeinep Ysmanalieva, Undergraduate Student, National Louis University
Open Science Subject Matter Experts
- Akshay Mestry, Adjunct Professor, National Louis University
- Dhruvil Prajapati, Technical Analyst, National Louis University
- Antonio Tovar, Professor, National Louis University
Module Development Team
- Deborah Balk, Director, CUNY Baruch
- Josh Brinks, Research Scientist, ISCIENCES LLC
- Camilla Green, Technical Analyst, Columbia University
- Kytt MacManus, Research Scientist, Columbia University
- Juan Martinez, Technical Analyst, Columbia University
- Thomas Parris, Director, ISCIENCES LLC
- Linda Pistolesi, Technical Analyst, Columbia University
- Eulalia Santin, Financial Analyst, Columbia University
- Sri Vinay, Technical Analyst, NASA ASDC
- Greg Yetman, Research Scientist, Columbia University
- Tracy Wen, Financial Analyst, Columbia University
- Christina Deodatis, Technical Analyst, Paces
Files
README.md
Additional details
Funding
- National Aeronautics and Space Administration
- 22-TOPST22-0024, Science Core Heuristics for Open Science Outcomes in Learning (SCHOOL) 80NSSC23K0862
Dates
- Submitted
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2026-01-08
Software
- Repository URL
- https://github.com/ciesin-geospatial/TOPSTSCHOOL-community
- Programming language
- Python , R
- Development Status
- Active