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Oglala Lakota College

Welcome to the GitHub page for Oglala Lakota College

Oglala Lakota College Integrated Data Cube Project

Welcome to the OLC NIFA IDC repository, part of the USDA-NIFA IDC project at Oglala Lakota College. This repository serves as the central hub for our group, hosting our project description, codebase, datasets, and more.

Project At a Glance

  • Project: Integrated Data Cube (IDC)/Cubedynamics for Tribal environmental data
  • Focus: Agriculture, water, land, geology, soils, and ecosystem monitoring
  • Goal: Support Tribal sovereignty through data access and tools
  • Built by: Oglala Lakota College in collaboration with Daear Consulting, LLC and CIRES (CU Boulder) Researchers
  • Status: Active development (2025-2026)

Our Project

The Challenge

Communities across the globe are navigating an era of profound environmental disruption, including the contamination of air and water, declining freshwater availability, habitat loss, and an accelerating climate crisis. For many Tribal Nations, these challenges are compounded by the legacies of colonization and systemic inequities that have limited access to environmental data and decision-making tools.

Indigenous Knowledge and Data

Tribal peoples bring generations of knowledge and enduring relationships with their homelands that offer critical insights for sustaining ecosystems. Traditional ways of understanding the world that are rooted in balance, respect, and reciprocity hold lessons for all of us. This work supports Tribal sovereignty and resilience.

Our Approach

The Integrated Data Cube (IDC) initiative seeks to unite these strengths with the capabilities of modern Earth data science. Our team is creating a flexible, community-driven data and workflow platform that enables Tribal Nations to gather, interpret, and apply environmental information in ways that align with their own priorities and governance systems. It is both a research infrastructure and a learning environment designed to expand local expertise in data analysis and evidence-based decision-making while also integrating principles of traditional knowledge systems and inherent Tribal sovereignty.

Our Goal

To build geospatial data analytics tools in collaboration with Tribal partners and to equip communities with tools to visualize and interpret their own environmental data that help to ensure responses to ecological change are guided by Tribal leadership, knowledge, and values.

Expected Impacts

  • Increased Tribal Access to Data Science: Making EDS accessible supports Tribal-led environmental research and resource management.

  • Capacity Building and Training: The DataCube will serve as a teaching and learning tool for Oglala Lakota College, students, Elders, and community members, expanding technical and data literacy skills.

  • Stronger Environmental and Climate Resilience: With improved data and tools, Tribes can develop more effective, self-determined responses to environmental challenges, ensuring long-term sustainability.

  • Our project centers Tribal self-determination and the integration of Tribal Knowledges with state-of-the-art Earth data tools to create lasting, meaningful change.

Current Work

  • Building initial data cube infrastructure
  • Integrating agricultural and hydrology datasets
  • Developing student training materials

Roadmap

  • Community-facing data tools
  • Expanded dataset integrations
  • Workshops with Tribal partners
  • Tribal Hackathon to introduce these tools

Team Members

Name Affiliation
Dana Gehring Department Head, Oglala Lakota College
J. Foster Sawyer, PhD Faculty, Oglala Lakota College
Camille Griffith, PhD Faculty, Oglala Lakota College
Elisha Yellow Thunder Adjunct Faculty, Oglala Lakota College
James Sanovia Tribal Data Scientist, CIRES ESIIL Lab, CU Boulder
Lilly Jones, PhD Daear Consulting, LLC; Research Faculty, CIRES Earth Lab, CU Boulder
Ty Tuff, PhD Lead Data Scientist, CIRES ESIIL Lab, CU Boulder

Questions?

For questions or collaboration inquiries, please contact: Email: Foster Sawyer

Acknowledgment

This work is guided by the principles of Tribal data sovereignty, Tribal knowledge integration, and Community-led, land-based research as outlined below. We honor the Oglala Lakota Nation, the Oceti Sakowin and the lands that sustain this work.

This toolkit is aligned with the following complementary frameworks:

Framework What it governs
Local Contexts TK/BC Labels Cultural authority, appropriate use, community expectations
OCAP® Tribal Nations own, control, access, and possess their data
CARE Principles Collective Benefit, Authority to Control, Responsibility, Ethics
IEEE 2890-2025 Provenance of Indigenous Peoples' data (machine-readable ethical lineage)
FAIR Principles Data are findable, accessible, and adhere to open science practices

Citation of these frameworks is appropriate when using or extending this toolkit:

“Data sovereignty means communities define how their data is used, shared, and understood.”

Status License Python

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