Rethinking data and metadata in the age of machine intelligence

A continuous cycle of hypotheses, data generation, and revision of theories drives biomedical research forward. Yet, the widely reported lack of reproducibility requires us to revise the very notion of what constitutes relevant scientific data and how it is being captured. This will also pave the wa...

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Detalles Bibliográficos
Autor principal: Bittner, Martin-Immanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Opinion
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892478/
https://www.ncbi.nlm.nih.gov/pubmed/33659917
http://dx.doi.org/10.1016/j.patter.2021.100208
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author Bittner, Martin-Immanuel
author_facet Bittner, Martin-Immanuel
author_sort Bittner, Martin-Immanuel
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description A continuous cycle of hypotheses, data generation, and revision of theories drives biomedical research forward. Yet, the widely reported lack of reproducibility requires us to revise the very notion of what constitutes relevant scientific data and how it is being captured. This will also pave the way for the unique collaborative strength of combining the human mind and machine intelligence.
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spelling pubmed-78924782021-03-02 Rethinking data and metadata in the age of machine intelligence Bittner, Martin-Immanuel Patterns (N Y) Opinion A continuous cycle of hypotheses, data generation, and revision of theories drives biomedical research forward. Yet, the widely reported lack of reproducibility requires us to revise the very notion of what constitutes relevant scientific data and how it is being captured. This will also pave the way for the unique collaborative strength of combining the human mind and machine intelligence. Elsevier 2021-02-12 /pmc/articles/PMC7892478/ /pubmed/33659917 http://dx.doi.org/10.1016/j.patter.2021.100208 Text en © 2021 Arctoris Ltd http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Opinion
Bittner, Martin-Immanuel
Rethinking data and metadata in the age of machine intelligence
title Rethinking data and metadata in the age of machine intelligence
title_full Rethinking data and metadata in the age of machine intelligence
title_fullStr Rethinking data and metadata in the age of machine intelligence
title_full_unstemmed Rethinking data and metadata in the age of machine intelligence
title_short Rethinking data and metadata in the age of machine intelligence
title_sort rethinking data and metadata in the age of machine intelligence
topic Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892478/
https://www.ncbi.nlm.nih.gov/pubmed/33659917
http://dx.doi.org/10.1016/j.patter.2021.100208
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