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Research and Data Analysis
Indigenizing Data and Research Methodologies Training Course
Introduction
Indigenizing Data and Research Methodologies Training Course is a transformative learning program designed to equip participants with culturally grounded and ethically responsible approaches to data and research. By centering Indigenous worldviews, epistemologies, and community-led strategies, the course emphasizes decolonized, community-engaged research practices that support self-determination, sovereignty, and respect for Indigenous knowledge systems. Participants will gain the critical tools to engage with data in ways that uphold cultural integrity and foster inclusive, reciprocal research relationships.
In today’s rapidly evolving landscape of data science and research, it is crucial to challenge colonial paradigms and embed Indigenous methodologies that prioritize relational accountability, storytelling, community narratives, and holistic approaches. This course offers scholars, researchers, policymakers, and practitioners an opportunity to deepen their understanding of ethical Indigenous research practices while applying these insights to real-world case studies across sectors. Through interactive modules, participants will learn to dismantle biases, promote data justice, and co-create knowledge with Indigenous communities.
Programme Curriculum
Indigenizing Data and Research Methodologies Training Course
Introduction
Indigenizing Data and Research Methodologies Training Course is a transformative learning program designed to equip participants with culturally grounded and ethically responsible approaches to data and research. By centering Indigenous worldviews, epistemologies, and community-led strategies, the course emphasizes decolonized, community-engaged research practices that support self-determination, sovereignty, and respect for Indigenous knowledge systems. Participants will gain the critical tools to engage with data in ways that uphold cultural integrity and foster inclusive, reciprocal research relationships.
In today’s rapidly evolving landscape of data science and research, it is crucial to challenge colonial paradigms and embed Indigenous methodologies that prioritize relational accountability, storytelling, community narratives, and holistic approaches. This course offers scholars, researchers, policymakers, and practitioners an opportunity to deepen their understanding of ethical Indigenous research practices while applying these insights to real-world case studies across sectors. Through interactive modules, participants will learn to dismantle biases, promote data justice, and co-create knowledge with Indigenous communities.
Course Objectives
Understand the foundations of Indigenous epistemologies and worldviews.
Explore ethical frameworks in decolonizing research methodologies.
Identify culturally responsive data governance strategies.
Apply community-led participatory research approaches.
Integrate storytelling and oral traditions in qualitative research.
Examine Indigenous data sovereignty and rights-based frameworks.
Foster relational accountability in Indigenous research partnerships.
Analyze the impacts of colonialism on knowledge production systems.
Navigate Institutional Review Boards (IRBs) with Indigenous protocols.
Build culturally safe research environments and teams.
Utilize digital tools for Indigenous data management and storytelling.
Develop intersectional and trauma-informed research practices.
Design inclusive and justice-oriented evaluation frameworks.
Target Audiences
Academic researchers and graduate students in social sciences and humanities.
Indigenous scholars, knowledge keepers, and elders.
Data analysts and evaluators working with Indigenous communities.
Non-profit organizations engaging in community-based research.
Government and policy advisors in Indigenous affairs.
Educators and curriculum developers.
Public health professionals and epidemiologists.
NGO staff and development practitioners.
Course Duration: 5 days
Course Modules
Module 1: Foundations of Indigenous Knowledge Systems
Key principles of Indigenous worldviews and cosmologies
Differences between Western and Indigenous knowledge paradigms
Community knowledge, oral histories, and storytelling
Epistemic justice and decolonization
Ethical use of Indigenous knowledge
Case Study: Maori knowledge systems in environmental policy
Module 2: Decolonizing Research Methodologies
Colonial impacts on research institutions
Linda Tuhiwai Smith’s decolonizing methodologies
Power dynamics in research
Research as resistance and healing
Research positionality and reflexivity
Case Study: Inuit-led research on climate change
Module 3: Indigenous Data Sovereignty
Definition and significance of Indigenous data sovereignty
Principles from the CARE and OCAP frameworks
Indigenous ownership and control of data
Challenges in mainstream data infrastructures
Governance models for Indigenous datasets
Case Study: First Nations Information Governance Centre (FNIGC)
Module 4: Participatory and Community-Based Approaches
Principles of participatory action research (PAR)
Strengths-based and asset-based frameworks
Building equitable community partnerships
Roles of co-researchers and co-authorship
Participatory dissemination practices
Case Study: Native Hawaiian health equity research project
Module 5: Indigenous Ethical Research Protocols
Tribal research review boards and sovereignty
Cultural safety and informed consent
Protocols for engaging elders and community leaders
Spiritual, cultural, and ceremonial considerations
Confidentiality and data sharing agreements
Case Study: Navajo Nation Human Research Review Board
Module 6: Indigenous Story work and Narrative Inquiry
Use of story work in Indigenous research (Archibald’s principles)
Integrating sacred stories, songs, and traditions
Methodological rigor in narrative inquiry
Story as pedagogy and resistance
Multimedia storytelling and digital archives
Case Study: Story work with Stolo Nation educators
Module 7: Indigenous Evaluation and Impact Assessment
Community-defined success and outcomes
Holistic and circular evaluation models
Cultural indicators and Indigenous metrics
Decolonizing logic models and theories of change
Community feedback loops and knowledge mobilization
Case Study: Yupik approach to education program evaluation
Module 8: Digital Tools and Innovations in Indigenous Research
GIS, mapping, and Indigenous place-based knowledge
Indigenous control of digital archives and repositories
Ethical considerations in data digitization
Blockchain and metadata for cultural protection
Digital storytelling tools and platforms
Case Study: Mapuche community mapping and land defense
Training Methodology
Interactive lectures with Indigenous and allied instructors
Culturally grounded case study analysis and reflection
Collaborative group projects and peer feedback
Digital tools and experiential activities
Community-led research simulations and real-world exercises
Access to Indigenous-authored toolkits and resource libraries
Register as a group from 3 participants for a Discount
Upon successful completion of this training, participants will be issued with a globally- recognized certificate.
Tailor-Made Course
We also offer tailor-made courses based on your needs.
Key Notes
a. The participant must be conversant with English.
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
c. Course duration is flexible and the contents can be modified to fit any number of days.
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to FINESKILL TRAINING CENTER account, as indicated in the invoice so as to enable us prepare better for you.