Editorial: Innovative Analysis Ecosystems for HEP Data

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This editorial summarizes the contributions to the Frontiers Research topic “Innovative Analysis Ecosystems for HEP Data”, established under the Big Data and AI in High Energy Physics section and appearing under the Frontiers in Big Data and Frontiers in Artificial Intelligence journals.

Detalles Bibliográficos
Autores principales: Sekmen, Sezen, Innocenti, Gian Michele, Jayatilaka, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374889/
https://www.ncbi.nlm.nih.gov/pubmed/34423288
http://dx.doi.org/10.3389/fdata.2021.736105
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author Sekmen, Sezen
Innocenti, Gian Michele
Jayatilaka, Bo
author_facet Sekmen, Sezen
Innocenti, Gian Michele
Jayatilaka, Bo
author_sort Sekmen, Sezen
collection PubMed
description This editorial summarizes the contributions to the Frontiers Research topic “Innovative Analysis Ecosystems for HEP Data”, established under the Big Data and AI in High Energy Physics section and appearing under the Frontiers in Big Data and Frontiers in Artificial Intelligence journals.
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spelling pubmed-83748892021-08-20 Editorial: Innovative Analysis Ecosystems for HEP Data Sekmen, Sezen Innocenti, Gian Michele Jayatilaka, Bo Front Big Data Big Data This editorial summarizes the contributions to the Frontiers Research topic “Innovative Analysis Ecosystems for HEP Data”, established under the Big Data and AI in High Energy Physics section and appearing under the Frontiers in Big Data and Frontiers in Artificial Intelligence journals. Frontiers Media S.A. 2021-08-05 /pmc/articles/PMC8374889/ /pubmed/34423288 http://dx.doi.org/10.3389/fdata.2021.736105 Text en Copyright © 2021 Sekmen, Innocenti and Jayatilaka. 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
Sekmen, Sezen
Innocenti, Gian Michele
Jayatilaka, Bo
Editorial: Innovative Analysis Ecosystems for HEP Data
title Editorial: Innovative Analysis Ecosystems for HEP Data
title_full Editorial: Innovative Analysis Ecosystems for HEP Data
title_fullStr Editorial: Innovative Analysis Ecosystems for HEP Data
title_full_unstemmed Editorial: Innovative Analysis Ecosystems for HEP Data
title_short Editorial: Innovative Analysis Ecosystems for HEP Data
title_sort editorial: innovative analysis ecosystems for hep data
topic Big Data
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374889/
https://www.ncbi.nlm.nih.gov/pubmed/34423288
http://dx.doi.org/10.3389/fdata.2021.736105
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AT innocentigianmichele editorialinnovativeanalysisecosystemsforhepdata
AT jayatilakabo editorialinnovativeanalysisecosystemsforhepdata

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