Article
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The Expansion of Data Science: Datasets Standardization
Version 1
: Received: 7 May 2023 / Approved: 8 May 2023 / Online: 8 May 2023 (10:49:34 CEST)
A peer-reviewed article of this Preprint also exists.
Pessanha Santos, N. The Expansion of Data Science: Dataset Standardization. Standards 2023, 3, 400-410. Pessanha Santos, N. The Expansion of Data Science: Dataset Standardization. Standards 2023, 3, 400-410.
Abstract
With the recent advances in science and technology, more processing capability and data have become available, allowing a more straightforward implementation of data analysis techniques. Fortunately, the available online data storage capacity follows this trend, and vast amounts of data can be stored online freely or at accessible costs. As happens with every evolution (or revolution) in any science field, organizing and sharing this data is essential to contribute to new studies or validate the obtained results quickly. To facilitate this, we must guarantee interoperability between the existing datasets and the developed software, whether commercial or open source. This article explores this issue, analyzing the current initiatives to establish data standards and comparing some of the existing dataset online storage platforms. Through a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, it is possible to understand better the strategy that should be taken to improve the efficiency in this field, which directly depends on the data characteristics.
Keywords
datasets; standards; standardization; guidelines; framework; interoperability.
Subject
Computer Science and Mathematics, Computer Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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