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Advancing methods in big data capture, integration, classification and liberation

This special issue focuses on the importance of advancing research techniques for managing and analyzing data in today’s data-rich landscape. In this editorial, we set the context and invite contributions for a BMC Collection of articles titled ‘Advancing methods in data capture, integration, classi...

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Detalles Bibliográficos
Autores principales: Zdravevski, Eftim, Pires, Ivan Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141912/
https://www.ncbi.nlm.nih.gov/pubmed/37106414
http://dx.doi.org/10.1186/s13104-023-06340-z
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author Zdravevski, Eftim
Pires, Ivan Miguel
author_facet Zdravevski, Eftim
Pires, Ivan Miguel
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description This special issue focuses on the importance of advancing research techniques for managing and analyzing data in today’s data-rich landscape. In this editorial, we set the context and invite contributions for a BMC Collection of articles titled ‘Advancing methods in data capture, integration, classification and liberation’. The collection emphasizes the need for efficient ways to standardize, cleanse, integrate, enrich, and liberate data, highlighting recent advancements in research methods and industrial technologies that facilitate this. We invite researchers to submit their best work to the collection and to showcase the latest advancements and additions to research techniques.
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spelling pubmed-101419122023-04-29 Advancing methods in big data capture, integration, classification and liberation Zdravevski, Eftim Pires, Ivan Miguel BMC Res Notes Editorial This special issue focuses on the importance of advancing research techniques for managing and analyzing data in today’s data-rich landscape. In this editorial, we set the context and invite contributions for a BMC Collection of articles titled ‘Advancing methods in data capture, integration, classification and liberation’. The collection emphasizes the need for efficient ways to standardize, cleanse, integrate, enrich, and liberate data, highlighting recent advancements in research methods and industrial technologies that facilitate this. We invite researchers to submit their best work to the collection and to showcase the latest advancements and additions to research techniques. BioMed Central 2023-04-27 /pmc/articles/PMC10141912/ /pubmed/37106414 http://dx.doi.org/10.1186/s13104-023-06340-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Editorial
Zdravevski, Eftim
Pires, Ivan Miguel
Advancing methods in big data capture, integration, classification and liberation
title Advancing methods in big data capture, integration, classification and liberation
title_full Advancing methods in big data capture, integration, classification and liberation
title_fullStr Advancing methods in big data capture, integration, classification and liberation
title_full_unstemmed Advancing methods in big data capture, integration, classification and liberation
title_short Advancing methods in big data capture, integration, classification and liberation
title_sort advancing methods in big data capture, integration, classification and liberation
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141912/
https://www.ncbi.nlm.nih.gov/pubmed/37106414
http://dx.doi.org/10.1186/s13104-023-06340-z
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