Advancing methods in big data capture, integration, classification and liberation
Journal
BMC Research Notes
Date Issued
2023-04-27
Author(s)
Pires, Ivan Miguel
Abstract
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.
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.