Related Experiment Video
Updated: Jul 12, 2025
07:48
Working with Human Tissues for Translational Cancer Research
Published on: November 26, 2015
10.0K
An Overview of Data Management in Human Subjects Research.
Andrew G Miller1, David Lipscomb2, Chi Hornik3
1Division of Pediatric Critical Care Medicine, Duke University Medical Center, Durham, North Carolina; and Respiratory Care Services, Duke University Medical Center, Durham, North Carolina. Andrew.g.miller@duke.edu.
Respiratory Care
|October 24, 2023
Summary
Effective data management is crucial for research, especially with human subjects. This review covers data collection, security, storage, and regulatory compliance for robust data stewardship.
Area of Science:
- Data Science
- Research Methodology
- Information Governance
Background:
- Research studies generate diverse data types, including quantitative and qualitative information.
- Protecting sensitive data, particularly from human subjects, is paramount due to privacy concerns.
- Adherence to regulations and institutional policies is essential for data security and ethical research conduct.
Purpose of the Study:
- To provide a comprehensive overview of essential data management practices in research.
- To highlight key considerations for data collection, security, and analysis.
- To emphasize the importance of data management plans for effective research stewardship.
Main Methods:
- Review of data collection tools and techniques.
- Analysis of data security strategies and best practices.
- Examination of file management, data storage, and formatting guidelines.
- Discussion of relevant government regulations and compliance requirements.
- Exploration of data preparation for analysis and reference management.
Main Results:
- Data management encompasses a wide range of activities from collection to analysis.
- Robust data security measures and adherence to regulations are critical for protecting sensitive information.
- Well-defined data management plans facilitate efficient and ethical research conduct.
Conclusions:
- Effective data management is integral to the integrity and reproducibility of research findings.
- Implementing comprehensive data management strategies ensures data security, privacy, and compliance.
- Proper planning and execution of data management are vital for successful research outcomes.
Related Concept Videos
01:56Ethics in Research
23.0K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
23.0K
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
133
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
133
01:40Archival 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
01:06Legal Guidelines for Documentation
1.3K
The legal guidelines for nursing documentation are essential for ensuring accurate, professional, and ethical recording of patient care. The guidelines are discussed here:
1.3K
01:19Overview of Biostatistics in Health Sciences
469
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
469
01:30Data Collection I
6.3K
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...
6.3K