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関連する概念動画

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.
14.9K
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

81
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...
81
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

281
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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Updated: Aug 16, 2025

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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データ・ブラインド:大学のデータ収集と活用の遅れ

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
PubMed
まとめ
この要約は機械生成です。

この研究は,現在のアプローチでインフラストラクチャの思考が著しく欠けていることを明らかにしています. この空白を埋めることは 将来の開発と計画に不可欠です

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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

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関連する実験動画

Last Updated: Aug 16, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

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科学分野:

  • エンジニアリング
  • 都市計画
  • 政策研究

背景:

  • 現在の開発パラダイムでは 長期にわたるインフラ需要を 見過ごしていることが多いのです
  • 統合されたインフラストラクチャの計画不足は,持続可能な成長を妨げています.

研究 の 目的:

  • インフラストラクチャの思考の欠如を 特定し分析する
  • 政策と実践におけるインフラを無視した結果を強調する.

主な方法:

  • 開発と計画文書の文献レビュー
  • インフラプロジェクトの失敗事例分析
  • インフラ政策に関する専門家のインタビュー

主要な成果:

  • 長期にわたるインフラ投資よりも短期的な投資に 焦点を当てています
  • 断片化された意思決定プロセスで インフラを全体的に考慮していない証拠
  • 各セクターで重要なインフラストラクチャのギャップを特定する

結論:

  • インフラの考え方に 根本的な転換が迫っています
  • 持続可能なインフラ開発を優先させるため,政策の枠組みを改定する必要があります.
  • インフラの空白を埋めるには 分野間の協力が不可欠です