Water
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TOPSTSCHOOL Development Team
Open Science Contributor
Welcome to the first module of the SCHOOL curriculum!
The Science Core Heuristics for Open Science Outcomes in Learning (SCHOOL) is part of the NASA's 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.
The first SCHOOL module on the theme of “Water and related-resources” explores how the water cycle impacts humans and how they are affected by the changes. The module consists of three use cases that cover examples of water use, safety, and anomalies such as droughts and floods. Each use case uses a unique dataset to walk users through lessons in accessing and analyzing data, and further adapting the code to perform their analyses including data cleaning, processing to subset to an area of interest, and creating visualizations to share what they have learned with their communities.
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This module is designed to provide undergraduate students and early-career researchers with an introduction to the data science “life cycle” and sample code describing how Open Science principles can be effectively applied to earth sciences, particularly in the context of air pollution and its impact on health.
Teaching earth science topics and coding skills in depth is beyond the scope of the SCHOOL Modules. Instead, the SCHOOL Project aims to provide users with the skills to adapt the skills learned in SCHOOL lessons to the users’ own Open Science workflow. To learn more about Open Science, NASA’s TOPS Open Science 101 Curriculum. To explore other themes in the SCHOOL project, visit our Modules Page.’
Module 1: Water datasets and use cases cover:
Water Module Prerequisites and Glossary: General information on the prerequisites needed to maximize the usefulness of this lesson, as well as a glossary of terms than can be found throughout the module.
Water Security Indicator Model - Global Land Data Assimilation system (WSIM-GLDAS): Exploring water anomalies using a historical dataset.
Moderate Resolution Imaging Spectroradiometer (MODIS) Near Real-Time (NRT) flood data: Lessons in data acquisition and analysis of recent water anomalies.
Lead in New York State Schools: Exploring lead contamination data and US Census data and lessons in data cleaning and visualization, with a discerning eye towards data limitations.
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!