TY - JOUR
T1 - Of course, data can never fully represent reality”
T2 - Assessing the relationship between “indigenous data” and “indigenous knowledge,” “traditional ecological knowledge,” and “traditional knowledge
AU - Duarte, Marisa Elena
AU - Vigil-Hayes, Morgan
AU - Littletree, Sandra
AU - Belarde-Lewis, Miranda
N1 - Publisher Copyright:
© 2020 Wayne State University Press.
PY - 2019/6/1
Y1 - 2019/6/1
N2 - Multiple terms describe Indigenous peoples’ creative expressions, including “Indigenous knowledge” (IK), “traditional ecological knowledge” (TEK), “traditional knowledge” (TK), and increasingly, “Indigenous data” (ID). Variation in terms contributes to disciplinary divides, challenges in organizing and fijinding prior studies about Indigenous peoples’ creative expressions, and intellectually divergent chains of reference. The authors applied a decolonial, digital, feminist, ethics-of-care approach to citation analysis of records about Indigenous peoples knowledge and data, including network analyses of author-generated keywords and research areas, and content analysis of peer-reviewed studies about ID. Results reveal ambiguous uses of the term “Indigenous data”; the influence of ecology and environmental studies in research areas and topics associated with IK, TEK, and TK; and the influence of public administration and governance studies in research areas and topics associated with ID studies. Researchers of ID would benefijit from applying a more nuanced and robust vocabulary, one informed by studies of IK, TEK, and TK. Researchers of TEK and TK would benefijit from the more people-centered approaches of IK. Researchers and systems designers who work with data sets can practice relational accountability by centering the Indigenous peoples from whom observations are sourced, combining narrative methodologies with computational methods to sustain the holism favored by Indigenous science and the relationality of Indigenous peoples.
AB - Multiple terms describe Indigenous peoples’ creative expressions, including “Indigenous knowledge” (IK), “traditional ecological knowledge” (TEK), “traditional knowledge” (TK), and increasingly, “Indigenous data” (ID). Variation in terms contributes to disciplinary divides, challenges in organizing and fijinding prior studies about Indigenous peoples’ creative expressions, and intellectually divergent chains of reference. The authors applied a decolonial, digital, feminist, ethics-of-care approach to citation analysis of records about Indigenous peoples knowledge and data, including network analyses of author-generated keywords and research areas, and content analysis of peer-reviewed studies about ID. Results reveal ambiguous uses of the term “Indigenous data”; the influence of ecology and environmental studies in research areas and topics associated with IK, TEK, and TK; and the influence of public administration and governance studies in research areas and topics associated with ID studies. Researchers of ID would benefijit from applying a more nuanced and robust vocabulary, one informed by studies of IK, TEK, and TK. Researchers of TEK and TK would benefijit from the more people-centered approaches of IK. Researchers and systems designers who work with data sets can practice relational accountability by centering the Indigenous peoples from whom observations are sourced, combining narrative methodologies with computational methods to sustain the holism favored by Indigenous science and the relationality of Indigenous peoples.
KW - Data science
KW - Indigenous data sovereignty
KW - Indigenous knowledge
KW - Informatics
KW - Information science
KW - Traditional ecological knowledge
KW - Traditional knowledge
UR - http://www.scopus.com/inward/record.url?scp=85086165236&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85086165236&partnerID=8YFLogxK
U2 - 10.13110/humanbiology.91.3.03
DO - 10.13110/humanbiology.91.3.03
M3 - Article
C2 - 32549034
AN - SCOPUS:85086165236
SN - 0018-7143
VL - 91
SP - 163
EP - 178
JO - Human Biology
JF - Human Biology
IS - 3
ER -