<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1794-4449</journal-id>
<journal-title><![CDATA[Revista Lasallista de Investigación]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Lasallista Investig.]]></abbrev-journal-title>
<issn>1794-4449</issn>
<publisher>
<publisher-name><![CDATA[Corporación Universitaria Lasallista]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1794-44492021000200058</article-id>
<article-id pub-id-type="doi">10.22507/rli.v18n2a5</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Esquema de Flujo de Datos para la Toma de Decisiones en el Sector Público]]></article-title>
<article-title xml:lang="en"><![CDATA[Data Flow Scheme for Public Sector Decision Making]]></article-title>
<article-title xml:lang="pt"><![CDATA[Esquema de Fluxo de Dados para Tomada de Decisão no Setor Público]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rivero-Riqueme]]></surname>
<given-names><![CDATA[Daniela]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ortiz-Clavijo]]></surname>
<given-names><![CDATA[Luis Felipe]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af2">
<institution><![CDATA[,Datum Cives  ]]></institution>
<addr-line><![CDATA[Medellín ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Instituto Tecnológico Metropolitano Grupo de Investigación GNOMON ]]></institution>
<addr-line><![CDATA[Medellín ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<volume>18</volume>
<numero>2</numero>
<fpage>58</fpage>
<lpage>68</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S1794-44492021000200058&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S1794-44492021000200058&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S1794-44492021000200058&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Introducción: El interés por la ciencia de datos a tenido un aumento en los últimos años, motivado principalmente por el uso recurrente de conceptos como cuarta revolución industrial o Big Data, los escenarios de aplicación de la ciencia de datos son amplios, sin embargo, la literatura especializada reporta pocas aplicaciones en el sector público, especialmente como herramienta para la toma de decisiones.  Objetivo: Proponer un esquema de flujo de datos orientado al sector público para el apoyo en la toma de decisiones.  Materiales y Métodos: El trabajo se suscribió a una metodología de tipo cualitativo y de enfoque descriptivo; considerando una ruta de tres momentos: (1) rastreo documental, (2) focalización y análisis, y (3) definición de dimensiones y diseño de esquema.  Resultados: Se propone un esquema de flujo de datos, compuesto por cuatro dimensiones: datos masivos, gestión de datos, gestión de la información y toma de decisiones.  Conclusiones.: El esquema propuesto se configura como una herramienta con la cual el sector público puede pasar de un flujo de datos no estructurados a un esquema secuencial que permite la generación de información útil, favoreciendo los procesos de toma de decisiones.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Introduction: The application scenarios of data science are wide, but the specialized literature reports few applications in the public sector, particularly as a decision-making tool. Interest in data science has increased in recent years, primarily motivated by the recurrent use of concepts such as the fourth industrial revolution or Big Data.  Objective: Propose a data flow scheme for the public sector to aid decision-making.  Materials and methods: The work followed a qualitative and descriptive approach methodology, with three stages: (1) documentary tracking, (2) targeting and analysis, and (3) dimension definition and schema design.  Results: A data flow scheme with four dimensions is proposed: Big Data, data management, information management, and decision making.  Conclusions: The proposed scheme is designed as a tool to help the public sector transition from an unstructured data flow to a sequential scheme that allows the generation of useful information, thereby facilitating decision-making processes.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo  Introdução: O interesse pela ciência de dados tem aumentado nos últimos anos, principalmente motivado pelo uso recorrente de conceitos como a quarta revolução industrial ou Big Data, os cenários de aplicação da ciência de dados são amplos, porém, a literatura especializada relata poucas aplicações no setor público, especialmente como uma ferramenta de tomada de decisão.  Objetivo: Propor um esquema de fluxo de dados voltado para o setor público para apoiar a tomada de decisão.  Materiais e métodos: O trabalho subscreveu uma metodologia de abordagem qualitativa e descritiva; considerando uma rota de três momentos: (1) rastreamento documental, (2) direcionamento e análise, e (3) definição das dimensões e desenho do esquema.  Resultados: É proposto um esquema de fluxo de dados, composto por quatro dimensões: captura massiva de dados, gerenciamento de dados, gerenciamento de informações e tomada de decisão.  Conclusões: O esquema proposto configura-se cómo uma ferramenta com a qual o setor público pode passar de um fluxo de dados não estruturados a um esquema sequencial que permite a geração de informações úteis, favorecendo os processos de tomada de decisão.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Análisis de datos]]></kwd>
<kwd lng="es"><![CDATA[información]]></kwd>
<kwd lng="es"><![CDATA[toma de decisiones]]></kwd>
<kwd lng="es"><![CDATA[sector público]]></kwd>
<kwd lng="en"><![CDATA[Data analysis]]></kwd>
<kwd lng="en"><![CDATA[information]]></kwd>
<kwd lng="en"><![CDATA[decision making]]></kwd>
<kwd lng="en"><![CDATA[public sector]]></kwd>
<kwd lng="pt"><![CDATA[Análise de dados]]></kwd>
<kwd lng="pt"><![CDATA[informação]]></kwd>
<kwd lng="pt"><![CDATA[tomada de decisão]]></kwd>
<kwd lng="pt"><![CDATA[setor público]]></kwd>
</kwd-group>
</article-meta>
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