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相关概念视频

Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
Data Collection II01:29

Data Collection II

The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...
Data Reporting and Recording01:24

Data Reporting and Recording

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...
Data: Types and Distribution01:19

Data: Types and Distribution

In biostatistics, data are the observations collected for analysis. There are two main types: parametric and non-parametric. Parametric data, which include continuous (e.g., weight) and discrete numerical data (e.g., number of tablets), assume a particular distribution pattern, often the normal distribution. Non-parametric data do not adhere to a specific distribution and typically comprise nominal (e.g., gender) and ordinal categorical data (e.g., pain scale ratings).
Distributions in...
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...

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相关实验视频

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Creating Sub-50 Nm Nanofluidic Junctions in PDMS Microfluidic Chip via Self-Assembly Process of Colloidal Particles
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纽约大学数据目录:用于数据发现的模块化,灵活的基础设施.

Michelle Yee1, Alisa Surkis1, Ian Lamb1

  • 1Health Sciences Library, New York University Grossman School of Medicine, New York, New York, USA.

Journal of the American Medical Informatics Association : JAMIA
|July 6, 2023
PubMed
概括

纽约大学数据目录通过促进数据发现和重复使用来支持研究人员. 这种灵活的平台增强了数据共享和协作,促进了开放科学的文化.

科学领域:

  • 健康科学 卫生科学 卫生科学
  • 数据管理数据管理
  • 学术传播学术交流

背景情况:

  • 纽约大学 (NYU) 格罗斯曼医学院的研究人员寻求帮助,寻找可重复使用的数据集.
  • 卫生科学图书馆通过创建纽约大学数据目录做出了回应.

研究的目的:

  • 开发和维护面向公众的数据目录,以支持教师数据采集和研究传播.
  • 评估和增强用户交互和数据目录的增长机会.

主要方法:

  • 纽约大学数据目录是基于Symfony框架构建的,具有自定义的元数据模式.
  • 项目团队策划数据集和软件代码,定期对用户交互进行评估.
  • 根据教师的反,目录模式,布局和记录可见性已被代地改进.

主要成果:

  • 该目录于2015年推出,已经发展以适应不同的教师研究学科.
  • 增强了对数据再利用和研究人员合作的支持.
  • 该目录成功地促进了各种数据源的发现.

结论:

  • 数据目录是一种灵活的平台,可以发现不同的数据源.
关键词:
数据发现数据发现.数据管理数据管理分享数据的数据共享.信息的存储和检索.医疗信息学是一门医学信息学专业.

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  • 纽约大学数据目录支持赞助商和出版商的数据共享任务.
  • 该平台通过其可适应的设计,促进数据共享作为文化实践.