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<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-science-frontier-research-a-physics-space-science</journal-id>
<journal-title-group>
<journal-title>Global Journal of Science Frontier Research - A: Physics &amp; Space Science</journal-title>
</journal-title-group>
<issn publication-format="print">0975-5896</issn>
<issn publication-format="electronic">2249-4626</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/58348.xml" />
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<article-meta>
<article-id pub-id-type="publisher-id">58348</article-id>
<title-group>
<article-title>Decisions at the time of Big Data</article-title>
<subtitle>Metrological Analysis of Big Data and Decision Making</subtitle>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Pavese</surname><given-names>Franco</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
</contrib-group>
<aff id="aff1">ITALY</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2023-10-20">
<day>20</day>
<month>10</month>
<year>2023</year>
</pub-date>
<volume>23</volume>
<issue>A7</issue>
<fpage>1</fpage>
<lpage>7</lpage>
<abstract><p>Abstract not found</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>decisions</kwd>
<kwd>data</kwd>
<kwd>big data</kwd>
<kwd>dataism</kwd>
<kwd>informatics</kwd>
<kwd>science.</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJSFR_Volume23/1-Decisions-at-the-Time.pdf" />
<self-uri content-type="html" xlink:href="https://globaljournals.org/scholarly-articles/decisions-at-the-time-of-big-data/" />
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<body>
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<title>Full Text</title>
<p>Two worldwide events opened novel reflections in a highly vast scientific literature concerning a universal concept like that of â€œdataâ€, namely as the results of observations, either experimental or human-mind generated: the â€œbig dataâ€ and the universal use of informatics, related to each other and both in exponential increase. The capacity and speed of modern computers allowed us obtaining such immense amounts of data, both from experimental setups or from the elaboration of algorithms, either human-built or through AI. Their handling too is necessarily operated via informatics means, considered distinct from mathematical means. Apparently, these facts have disconnected data evaluation from traditional fields, not only science but also the way to take decisions based on them. The paper contains reflections on the properties and meaning of the data in their-self, specifically as the vehicle of information almost universally necessary to make decisions, the latter being a frame that is mixed and often prevalent in the literature about big data.</p>
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