DIGITAL PRESERVATION AND DOCUMENTATION OF INDIGENOUS KNOWLEDGE IN AFRICA: A DATA-DRIVEN APPROACH

Main Article Content

Patience Gontor

Abstract

Indigenous Knowledge in Africa carries the memory of generations. It preserves wisdom about healing, agriculture, spirituality, governance, and community well being. Yet this knowledge system faces unprecedented threats from globalization, migration, ageing custodians, and the rapid disappearance of oral traditions. This study explores how digital technologies—ranging from structured databases to machine learning tools, can support the preservation and revitalization of Indigenous Knowledge in Africa. Using a qualitative research design grounded in literature synthesis, case-based analysis, and policy review, the study examines existing digital preservation efforts in Kenya, Nigeria, and Southern Africa. The findings reveal that while digital tools offer enormous potential, their impact depends on ethical implementation, community ownership, cultural sensitivity, and sustainable partnerships. The paper argues for a human-centered, culturally rooted preservation model that blends digital innovation with local authority and identity. The study concludes with recommendations for governments, universities, cultural institutions, and Indigenous communities seeking to protect Africa’s knowledge heritage for future generations.

Article Details

How to Cite
Gontor , P. . (2025). DIGITAL PRESERVATION AND DOCUMENTATION OF INDIGENOUS KNOWLEDGE IN AFRICA: A DATA-DRIVEN APPROACH. Journal of African Philosophy and Indigenous Knowledge System, 2(1), 16-27. https://doi.org/10.69778/3007-7192/2025/2.1x/a2
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Articles
Author Biography

Patience Gontor , Department of Political Science Faculty of Social Sciences Rivers State University

Department of Political Science
Faculty of Social Sciences
Rivers State University

How to Cite

Gontor , P. . (2025). DIGITAL PRESERVATION AND DOCUMENTATION OF INDIGENOUS KNOWLEDGE IN AFRICA: A DATA-DRIVEN APPROACH. Journal of African Philosophy and Indigenous Knowledge System, 2(1), 16-27. https://doi.org/10.69778/3007-7192/2025/2.1x/a2