Our approach to data management is guided by the Ellam Yua Framework for Co-Production of Knowledge in the Context of Arctic Research, which centers Indigenous values and protocols for respectful, reciprocal knowledge sharing.
Relationships, Respect, and Trust form the foundation of our work.
Tribal communities identify their own data management needs.
Data governance plans are built collaboratively and at the pace of each Tribe.
Ellam Yua, Raymond-Yakoubian, J., Daniel, R. A., & Behe, C. (2022). A Framework for Co-Production of Knowledge in the Context of Arctic Research. Ecology and Society, 27(1). https://doi.org/10.5751/ES-12960-270134
Publicly Available Data
Publications, hosted on the project's GitHub and on Google Sheet (Ḵutí Publications, Presentations, Papers, Tools & Posters Log)
High-level information about each partner community’s geoscience efforts, hosted on this website under "Ḵutí Communities" tab
Public data is hosted on our GitHub repository, within the Sitka Sound Science Center’s GitHub Organization.
The following data types are securely stored and accessible by the internal project team, which includes community connectors, the administrative team, and geoscience researchers. Sharing outside of the team is determined by Tribal protocols and community connectors in each project community.
Interviews
Notes
Recordings
Summaries
Surveys
XML Files
Trend Analysis
Thematic Analysis
Geophysical Data
Lidar
Precipitation Measurements
Soil Moisture Data
Seismic Data
Topographic and Geologic Maps
Landslide Runout & Initiation Modeling
Rockfall Hazard Assessments
Landslide Inventories
Interactive Dashboards
Data sharing and access are governed by the policies of each participating Tribal Government and may include:
Restrictions on data access and sharing
Requirements for privacy protection
Determinations on rights and usage
Guidelines for reuse and redistribution