Kincentricity: Rethinking Data Literacy

Abstract Over generations, Indigenous Peoples have developed their own systems of knowledge. The translation of this knowledge into data is evident in various forms of recordings, such as oral narratives, songs, and other artifacts that preserve and share essential information for the community (Carroll et al., 2019). However, colonial assimilation policies have sought to erase Indigenous knowledge and rewrite their histories in favor of the colonial project. In response, Indigenous communities are promoting data sovereignty initiatives and engaging in ongoing efforts to develop IS solutions that integrate their cultures and worldviews. These initiatives reflect a commitment to preserving their identities while adapting to the digital context. Data literacy, which is the ability to create, collect, analyze, and use data, offers a powerful opportunity for Indigenous Peoples to strengthen their autonomy and use their data in a representative way. Although every Indigenous community has its own unique characteristics and culture, a common element shared among most Indigenous cultures is the importance of relationships with people, animals, and nature (Wilson, 2008). This centrality of relationships reflects an Indigenous worldview called kincentricity, which sees all beings, living and non-living, as interconnected relatives (Salmón, 2000). In an Indigenous kincentric view, data emerges from relationships and belongs to a network of responsibilities involving people, the earth, and all beings. This understanding is in line with the perspective articulated by the First Nations Information Governance Centre (2023), which emphasizes that “our data come from us, they connect us, they define who we are and have the power to guide the construction of our future in our own image” (1:39). Similarly, Carroll (2024) affirms that “we claim data back as our relatives” (2:58). In these affirmations, data are not merely instruments of representation or measurement, but expressions of relational responsibility and community continuity. From a relational point of view, the way data are conceived and used reflects profound epistemological differences from dominant Western paradigms. While the Western approach to data emphasizes objectivity and tends to fragment data and treat it as isolated units of information, the Indigenous perspective on data is deeply rooted in relationality, recognizing its interconnectedness with biological, philosophical, spiritual, and actionable aspects. In this TREO, I argue that kincentricity is a relevant analytical lens for investigating how Indigenous Peoples understand data. By situating data in networks of relationships, this lens contributes to a deeper understanding of data literacy in Indigenous contexts and to the recognition of its importance to data sovereignty.

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Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-08-16
Primary Topic
Research Data Management Practices
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article

Kincentricity: Rethinking Data Literacy

Journal of the Association for Information Systems
Research Data Management Practices
article

Kincentricity: Rethinking Data Literacy

article en

Abstract

Abstract Over generations, Indigenous Peoples have developed their own systems of knowledge. The translation of this knowledge into data is evident in various forms of recordings, such as oral narratives, songs, and other artifacts that preserve and share essential information for the community (Carroll et al., 2019). However, colonial assimilation policies have sought to erase Indigenous knowledge and rewrite their histories in favor of the colonial project. In response, Indigenous communities are promoting data sovereignty initiatives and engaging in ongoing efforts to develop IS solutions that integrate their cultures and worldviews. These initiatives reflect a commitment to preserving their identities while adapting to the digital context. Data literacy, which is the ability to create, collect, analyze, and use data, offers a powerful opportunity for Indigenous Peoples to strengthen their autonomy and use their data in a representative way. Although every Indigenous community has its own unique characteristics and culture, a common element shared among most Indigenous cultures is the importance of relationships with people, animals, and nature (Wilson, 2008). This centrality of relationships reflects an Indigenous worldview called kincentricity, which sees all beings, living and non-living, as interconnected relatives (Salmón, 2000). In an Indigenous kincentric view, data emerges from relationships and belongs to a network of responsibilities involving people, the earth, and all beings. This understanding is in line with the perspective articulated by the First Nations Information Governance Centre (2023), which emphasizes that “our data come from us, they connect us, they define who we are and have the power to guide the construction of our future in our own image” (1:39). Similarly, Carroll (2024) affirms that “we claim data back as our relatives” (2:58). In these affirmations, data are not merely instruments of representation or measurement, but expressions of relational responsibility and community continuity. From a relational point of view, the way data are conceived and used reflects profound epistemological differences from dominant Western paradigms. While the Western approach to data emphasizes objectivity and tends to fragment data and treat it as isolated units of information, the Indigenous perspective on data is deeply rooted in relationality, recognizing its interconnectedness with biological, philosophical, spiritual, and actionable aspects. In this TREO, I argue that kincentricity is a relevant analytical lens for investigating how Indigenous Peoples understand data. By situating data in networks of relationships, this lens contributes to a deeper understanding of data literacy in Indigenous contexts and to the recognition of its importance to data sovereignty.

Journal of the Association for Information Systems
Université Laval (CA)
Quality Education
Openalex Percentile: Top 36%
Research Data Management Practices
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