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Related Concept Videos

Data Collection by Observations01:08

Data Collection by Observations

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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...
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Data Collection I01:30

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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...
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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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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...
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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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Observational Studies01:11

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Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Guidelines for Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD).

Ari Ercole1, Vibeke Brinck2, Pradeep George3

  • 1Department of Medicine, Division of Anaesthesia, University of Cambridge, Cambridge, UK.

Journal of Clinical and Translational Science
|November 27, 2020
PubMed
Summary

High-quality data curation is essential for scientific research. The Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD) Guidelines offer a framework to improve data rigor and reproducibility in observational studies.

Keywords:
Data qualityDelphi processcurationdesignobservational studiesreporting

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Area of Science:

  • Health Research
  • Observational Studies
  • Neuroscience

Background:

  • High-quality data is crucial for scientific research, but data curation efforts are often underestimated.
  • Large observational and clinical studies generate vast amounts of multimodal data, presenting unique curation challenges.
  • Inadequate documentation of data curation methods can compromise data robustness, utility, and interpretation.

Purpose of the Study:

  • To develop a framework for designing, documenting, and reporting data curation methods.
  • To enhance the scientific rigor, reproducibility, and analytical capabilities of observational study data.
  • To address the need for standardized data quality indicators in large-scale research.

Main Methods:

  • A modified Delphi process involving 46 experts was employed.
  • Consensus was reached on key indicators for data curation.
  • The process focused on indicators applicable across study phases.

Main Results:

  • Forty-six data curation indicators were identified.
  • These indicators cover study design, training/testing, runtime, and post-collection phases.
  • The indicators are designed to ensure data quality throughout the research lifecycle.

Conclusions:

  • The Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD) Guidelines represent a comprehensive set of data quality indicators.
  • While developed for neuroscience, the DAQCORD Guidelines are generalizable to other health research fields, smaller observational studies, and preclinical research.
  • These guidelines provide a foundational framework for achieving high-quality data, essential for advancing health research.