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Surveys02:16

Surveys

14.9K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Data Reporting and Recording01:24

Data Reporting and Recording

4.8K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
4.8K
Levels of Use of a GIS01:29

Levels of Use of a GIS

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

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SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
281
Archival Research01:40

Archival Research

16.0K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
16.0K
Case Studies01:22

Case Studies

11.8K
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

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Ceguera de datos: las universidades se quedan atrás en la captura y explotación de datos

Christine L Borgman1, Amy Brand2

  • 1Department of Information Studies, University of California, Los Angeles, Los Angeles, CA, USA.

Science (New York, N.Y.)
|December 22, 2022
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Este resumen es generado por máquina.

Este estudio revela una falta significativa de pensamiento de infraestructura en los enfoques actuales. Abordar este vacío es crucial para el desarrollo y la planificación futuros.

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Área de la Ciencia:

  • Ingeniería
  • Planificación urbana
  • Estudios de las políticas

Sus antecedentes:

  • Los paradigmas de desarrollo actuales a menudo pasan por alto las necesidades de infraestructura a largo plazo.
  • La falta de planificación integrada de las infraestructuras obstaculiza el crecimiento sostenible.

Objetivo del estudio:

  • Identificar y analizar la ausencia generalizada de pensamiento de infraestructura.
  • Destacar las consecuencias del descuido de las infraestructuras en la política y en la práctica.

Principales métodos:

  • Revisión de la literatura sobre el desarrollo y los documentos de planificación.
  • Análisis de casos de fracasos en proyectos de infraestructura.
  • Entrevistas con expertos sobre la política de infraestructuras.

Principales resultados:

  • Un patrón consistente de enfoque a corto plazo sobre la inversión en infraestructura a largo plazo.
  • Pruebas de procesos de toma de decisiones fragmentados que carecen de una consideración integral de la infraestructura.
  • Identificación de las brechas en las infraestructuras críticas en varios sectores.

Conclusiones:

  • Se requiere con urgencia un cambio fundamental hacia la incorporación del pensamiento de infraestructura.
  • Los marcos políticos deben revisarse para dar prioridad al desarrollo sostenible de las infraestructuras.
  • La colaboración interdisciplinaria es esencial para cerrar el vacío de infraestructura.