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相关概念视频

Data Reporting and Recording01:24

Data Reporting and Recording

5.3K
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...
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Archival Research01:40

Archival Research

17.0K
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...
17.0K
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...
834
Data Collection by Observations01:08

Data Collection by Observations

14.5K
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...
14.5K
Data Collection III01:05

Data Collection III

3.9K
The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
3.9K
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

2.3K
Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
2.3K

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Building an artificial intelligence-enabled telehealth future for South Africa: The case for regulatory vision and sectoral strategy.

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相关实验视频

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Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization
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加强协作研究中的数据治理:引入SA DTA 1.1

D Thaldar1, M Botes1, L Swales1

  • 1School of Law, University of KwaZulu-Natal, Durban, South Africa.

South African journal of bioethics and law
|October 16, 2025
PubMed
概括

更新的南非数据技术访问 (SA DTA) 1.1 澄清了协作研究中的数据权利,特别是推断数据. 这确保了明确的所有权和知识产权管理,有利于研究人员和全球科学创新.

科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 数据治理数据治理

背景情况:

  • 南非数据技术访问 (SA DTA) 被修改为1.1版本,以提高协作研究中机构数据权的清晰度.
  • SA DTA 1.1 具体涉及在涉及综合原始数据的复杂研究场景中的"推理数据"的定义和管理.

研究的目的:

  • 引入更新的SA DTA 1.1. 进行更新.
  • 为了说明SA DTA 1.1在各种研究合作中的实际应用.

主要方法:

  • 采用了一种描述性研究设计.
  • 展示了两个案例研究:一是大学与大学之间的合作,二是大学与制药公司之间的合作.
  • 案例研究的重点是确定神经退行性和慢性疾病的遗传标记.

主要成果:

  • 在第一个案例中,独立生成推理数据导致分析实体拥有独家数据权.
  • 在第二种情况下,对数据分析的共同贡献导致了对推断数据的共享权利.
  • SA DTA 1.1 在管理数据所有权和知识产权方面表现出灵活性.

结论:

  • SA DTA 1.1为协作研究中的数据权利提供了明确,可适应的指导方针.

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  • 更新的框架支持道德和高效的数据共享.
  • 这有助于保护研究人员的利益,并促进全球科学创新.