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Editorial: Critical data and algorithm studies

Detalles Bibliográficos
Autores principales: Mayer, Katja, Pfeffer, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206293/
https://www.ncbi.nlm.nih.gov/pubmed/37234688
http://dx.doi.org/10.3389/fdata.2023.1193412
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author Mayer, Katja
Pfeffer, Jürgen
author_facet Mayer, Katja
Pfeffer, Jürgen
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spelling pubmed-102062932023-05-25 Editorial: Critical data and algorithm studies Mayer, Katja Pfeffer, Jürgen Front Big Data Big Data Frontiers Media S.A. 2023-05-10 /pmc/articles/PMC10206293/ /pubmed/37234688 http://dx.doi.org/10.3389/fdata.2023.1193412 Text en Copyright © 2023 Mayer and Pfeffer. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Big Data
Mayer, Katja
Pfeffer, Jürgen
Editorial: Critical data and algorithm studies
title Editorial: Critical data and algorithm studies
title_full Editorial: Critical data and algorithm studies
title_fullStr Editorial: Critical data and algorithm studies
title_full_unstemmed Editorial: Critical data and algorithm studies
title_short Editorial: Critical data and algorithm studies
title_sort editorial: critical data and algorithm studies
topic Big Data
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206293/
https://www.ncbi.nlm.nih.gov/pubmed/37234688
http://dx.doi.org/10.3389/fdata.2023.1193412
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