Many global biodiversity datasets overlook or misrepresent the knowledge of Indigenous Peoples, Local Communities, and Afro-Descendants (IPLCAD). We propose minimum data and metadata standards for a global data infrastructure on biodiversity knowledge and use, co-designed with IPLCAD, including information on language, community attribution and consent, to ensure data traceability and ethical use. This initiative integrates ancestral and academic sciences to advance inclusive biodiversity governance, addressing historical inequities for global sustainability.
This work is licensed under CC-BY 4.0
This work is licensed under CC-BY 4.0
DOI:
https://doi.org/10.1038/s44185-026-00121-0Skor altmetrik:
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Ekspor kutipan:
RIS (.ris)
TI - A global biodiversity use data infrastructure acknowledging indigenous and local knowledge
AU - Pankararu, C.J.
AU - Teixidor-Toneu, I.
AU - Odonne, G.
AU - Asante, F.
AU - Bandeira, S.O.
AU - Barrera-Bello, A.M.
AU - Benitez-Capistros, F.J.
AU - Dahdouh-Guebas, F.
AU - Dalcin, E.
AU - Dennehy-Carr, Z.H.
AU - Diallo, K.
AU - Drouet-Cruz, H.T.
AU - Fonseca-Kruel, V.S.
AU - Gallois, S.
AU - Gnansounou, S.C.
AU - Hamza, A.J.
AU - Hugé, J.
AU - Jordan, F.M.
AU - Kalle, R.
AU - Khan, N.I.
AU - Kuijper, I.
AU - Levis, C.
AU - Lima, A.S.
AU - Mattalia, G.
AU - Milliken, W.
AU - Munga, C.N.
AU - Narchi, N.E.
AU - Ngeve, M.N.
AU - Ofori, S.A.
AU - Phartyal, S.S.
AU - Peroni, N.
AU - Pironon, S.
AU - Polanía, J.
AU - Prakofjewa, J.
AU - Toledo Silva, M.
AU - Sõukand, R.
AU - Thomas, M.B.
AU - Ulian, T.
AU - Uprety, Y.
AU - Vandebroek, I.
AU - Ximenes, A.C.
AU - Zank, S.
AU - Hanazaki, N.
AB - Many global biodiversity datasets overlook or misrepresent the knowledge of Indigenous Peoples, Local Communities, and Afro-Descendants (IPLCAD). We propose minimum data and metadata standards for a global data infrastructure on biodiversity knowledge and use, co-designed with IPLCAD, including information on language, community attribution and consent, to ensure data traceability and ethical use. This initiative integrates ancestral and academic sciences to advance inclusive biodiversity governance, addressing historical inequities for global sustainability.
PY - 2026
UR - https://www.cifor-icraf.org/knowledge/publication/46369/
DO - https://doi.org/10.1038/s44185-026-00121-0
KW - artificial intelligence, biodiversity, community involvement, data analysis, data management, ecology, environmental management, indigenous knowledge, local communities, sustainability, traceability
ER -Endnote (.ciw)
%T A global biodiversity use data infrastructure acknowledging indigenous and local knowledge
%A Pankararu, C.J.
%A Teixidor-Toneu, I.
%A Odonne, G.
%A Asante, F.
%A Bandeira, S.O.
%A Barrera-Bello, A.M.
%A Benitez-Capistros, F.J.
%A Dahdouh-Guebas, F.
%A Dalcin, E.
%A Dennehy-Carr, Z.H.
%A Diallo, K.
%A Drouet-Cruz, H.T.
%A Fonseca-Kruel, V.S.
%A Gallois, S.
%A Gnansounou, S.C.
%A Hamza, A.J.
%A Hugé, J.
%A Jordan, F.M.
%A Kalle, R.
%A Khan, N.I.
%A Kuijper, I.
%A Levis, C.
%A Lima, A.S.
%A Mattalia, G.
%A Milliken, W.
%A Munga, C.N.
%A Narchi, N.E.
%A Ngeve, M.N.
%A Ofori, S.A.
%A Phartyal, S.S.
%A Peroni, N.
%A Pironon, S.
%A Polanía, J.
%A Prakofjewa, J.
%A Toledo Silva, M.
%A Sõukand, R.
%A Thomas, M.B.
%A Ulian, T.
%A Uprety, Y.
%A Vandebroek, I.
%A Ximenes, A.C.
%A Zank, S.
%A Hanazaki, N.
%D 2026
%U https://www.cifor-icraf.org/knowledge/publication/46369/
%R https://doi.org/10.1038/s44185-026-00121-0
%X Many global biodiversity datasets overlook or misrepresent the knowledge of Indigenous Peoples, Local Communities, and Afro-Descendants (IPLCAD). We propose minimum data and metadata standards for a global data infrastructure on biodiversity knowledge and use, co-designed with IPLCAD, including information on language, community attribution and consent, to ensure data traceability and ethical use. This initiative integrates ancestral and academic sciences to advance inclusive biodiversity governance, addressing historical inequities for global sustainability.
%K artificial intelligence
%K biodiversity
%K community involvement
%K data analysis
%K data management
%K ecology
%K environmental management
%K indigenous knowledge
%K local communities
%K sustainability
%K traceability
Tahun publikasi
2026
ISSN
2731-4243
Penulis
Pankararu, C.J.; Teixidor-Toneu, I.; Odonne, G.; Asante, F.; Bandeira, S.O.; Barrera-Bello, A.M.; Benitez-Capistros, F.J.; Dahdouh-Guebas, F.; Dalcin, E.; Dennehy-Carr, Z.H.; Diallo, K.; Drouet-Cruz, H.T.; Fonseca-Kruel, V.S.; Gallois, S.; Gnansounou, S.C.; Hamza, A.J.; Hugé, J.; Jordan, F.M.; Kalle, R.; Khan, N.I.; Kuijper, I.; Levis, C.; Lima, A.S.; Mattalia, G.; Milliken, W.; Munga, C.N.; Narchi, N.E.; Ngeve, M.N.; Ofori, S.A.; Phartyal, S.S.; Peroni, N.; Pironon, S.; Polanía, J.; Prakofjewa, J.; Toledo Silva, M.; Sõukand, R.; Thomas, M.B.; Ulian, T.; Uprety, Y.; Vandebroek, I.; Ximenes, A.C.; Zank, S.; Hanazaki, N.
Bahasa
English
Kata kunci
artificial intelligence, biodiversity, community involvement, data analysis, data management, ecology, environmental management, indigenous knowledge, local communities, sustainability, traceability
Source
npj Biodiversity. 5: 7
