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Related Concept Videos

Data Collection II01:29

Data Collection II

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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...
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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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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.”
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Data Collection by Survey01:07

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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...
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Data Collection by Observations01:08

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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.
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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.
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Related Experiment Video

Updated: Feb 14, 2026

Optimization of Breast Biopsy and Mastectomy Sample Collection Procedures for Biobanking, Personalized Medicine, and Research Applications
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A Stepwise Procedure to Define a Data Collection Framework for a Clinical Biobank.

Peggy Manders1,2, Tessa M A Peters1,3, Ariaan E Siezen1

  • 11 Radboud Biobank, Radboud University Medical Center , Nijmegen, the Netherlands .

Biopreservation and Biobanking
|February 14, 2018
PubMed
Summary

This study introduces a standardized framework to improve clinical biobanking data collection. By focusing on donor characteristics alongside biospecimens, it enhances research efficiency and data quality for translational studies.

Keywords:
clinical biobankdataelectronic health recordframeworkguidelinesstandardization

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Area of Science:

  • Biobanking and Translational Research
  • Biomedical Data Management
  • Clinical Research Informatics

Background:

  • Current clinical biobanking guidelines prioritize biospecimen handling over donor characteristic data.
  • Integrating donor data is crucial for research linking biomarker analysis to clinical decision-making.
  • A need exists for structured tools to initiate data collection in clinical biobanks.

Purpose of the Study:

  • To develop a stepwise procedure for creating a data collection framework for clinical biobanking.
  • To enhance the utility of biobank data for research by standardizing information collection.
  • To improve the efficiency and quality of data supporting biospecimen research.

Main Methods:

  • A three-step procedure was developed based on experience in biobanking and translational research.
  • The procedure involved identifying research domains, relevant information categories, and essential data points.
  • The framework's utility was tested on existing biobanks at Radboud Biobank (RB).

Main Results:

  • A three-step procedure was defined: (1) identifying research domains, (2) identifying information categories, and (3) reducing to an essential framework.
  • The procedure's applicability was demonstrated using three existing RB biobanks.
  • The developed framework supports standardization in biobank data collection.

Conclusions:

  • Guidelines were established for a framework to standardize clinical biobank data collection.
  • Connecting biobank databases with electronic health records improves data quality and research efficiency.
  • This standardization facilitates multi-center research and enhances the value of biospecimens for scientific discovery.