Tribal Data Capacity

Using Science to Building Tribal Capacity for Data-Intensive Research

The National Congress of American Indians received grant funding from the National Science Foundation to help build tribal data capacity. 

The project includes the following aims:

  • Build a community committed to the collection and dissemination of data on AI/AN populations
  • Assist ongoing data collection by individual tribes
  • Review the “state of the art” on selected tribal data collection topics
  • Generate recommendations to improve and promote new data collection efforts by tribes

The project includes the following activities:

  • Survey of tribal data capacity and practices
  • Review of the time tribes spend on meeting federal reporting requirements
  • Review of the experiences of tribes that received pilot grants to plan and conduct their own censuses  and surveys
  • Review of current tribal and program service populations and geographic service areas
  • Convening stakeholders to discuss tribal data capacity issues at the NCAI Policy Research Center’s Tribal Leader/Scholar Forum and other venues
  • Developing reports on project work with recommendations for improving and encouraging tribal data collection efforts

Publications

Partners/Project staff:

  • Yvette Roubideaux (PI), NCAI Policy Research Center
  • Amber Ebarb (Project lead), NCAI Policy Research Center
  • Gregory Hooks (Co-PI), McMaster University
  • C. Matthew Snipp (Co-PI), Stanford University
  • Norm DeWeaver (Co-PI), consultant, NCAI Policy Research Center
  • Desi-Rodriguez-Lonebear (Doctoral Student), University of Arizona
  • Sarah Pytalski (Project Team), NCAI Policy Research Center
  • Deana Around Him (Project Team), NCAI Policy Research Center

Pilot Grantees:

  • Kalispel Tribe of Indians
  • Pueblo of Laguna
  • Nez Perce Tribe
  • Sault Ste. Marie Tribe of Chippewa Indians
  • Rocky Mountain Tribal Epidemiology Center

Acknowledgements:

This material is based upon work supported by the National Science Foundation under Grant No. 1439605.

Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation