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Data Validation

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...

Data Validation

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:

Data Collection I

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 by Survey

Data Collection by Survey

The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...

Data Collection III

Data Collection III

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 patient.

Data Collection by Experiments

Data Collection by Experiments

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 clinical trial...

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Related Experiment Video

Updated: Jul 4, 2026

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

Data collection, processing, validation, and verification.

Deborah L Martin¹, Jennifer L Hoff, Roger A Gard

¹Dade Moeller & Associates, 1835 Terminal Drive, Suite 200, Richland, WA 99354, USA. dmartin@moellerinc.com

|June 12, 2008

Summary

This summary is machine-generated.

Accurate radiation dose reconstruction relies on meticulous data management within the National Institute for Occupational Safety and Health (NIOSH) program. Proper data collection, validation, and storage ensure reliable dose estimates for workers.

Related Experiment Videos

Last Updated: Jul 4, 2026

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

Area of Science:

Occupational health
Radiation protection
Data management

Background:

The National Institute for Occupational Safety and Health (NIOSH) Radiation Dose Reconstruction Program is critical for assessing occupational radiation exposure.
The program's accuracy hinges on the quality and integrity of collected and processed data.

Purpose of the Study:

To highlight the critical role of data management in radiation dose reconstruction.
To describe the databases and procedures supporting NIOSH's dose reconstruction operations.

Main Methods:

Implementing robust procedures for data collection, validation, verification, formatting, filing, and storage.
Establishing and utilizing two key databases: NIOSH Office of Compensation Analysis and Support Claims Tracking System and the Site Research Database.
Processing information from over 300 Department of Energy and Atomic Weapons Employer facilities, including worker records and research documents.

Main Results:

Over one million worker-related employment and dosimetry records have been uploaded.
More than 33,000 research documents are now available in the associated computer systems.
Surrogate data, such as area monitoring, is used when direct worker information is unavailable to establish the radiation environment.

Conclusions:

The scientific validity of reconstructed dose estimates is directly dependent on the quality of data handling processes.
Accessible and error-free data retrievability is essential for efficient dose reconstruction.
Careful consideration of data application during collection is a key, often overlooked, factor for program success.