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Related Concept Videos

Data Collection II01:29

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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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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 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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Meta-omics data and collection objects (MOD-CO): a conceptual schema and data model for processing sample data in

Gerhard Rambold1, Pelin Yilmaz2, Janno Harjes1

  • 1University of Bayreuth, Universitätsstraße 30, Bayreuth, Germany.

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This summary is machine-generated.

New meta-omics data structures are needed for analyzing biological samples. The Meta-omics Data and Collection Objects (MOD-CO) schema addresses this by detailing sample traits and operational workflows.

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Area of Science:

  • Molecular biology
  • Bioinformatics
  • Data science

Background:

  • Advanced molecular meta-omics techniques enable detailed analysis of historic and environmental samples.
  • Current data structures and standards primarily focus on data exchange and publication, neglecting operational and management aspects.
  • There is a growing need for comprehensive data schemas to support meta-omics research.

Purpose of the Study:

  • To introduce the Meta-omics Data and Collection Objects (MOD-CO) schema, a new data structure for meta-omics research.
  • To provide a hierarchical organization for concepts describing collection samples, products, and data objects.
  • To focus on object trait descriptions and operational aspects for laboratory information management.

Main Methods:

  • Development of the MOD-CO schema with hierarchical organization.
  • Inclusion of 653 concepts and 1810 predefined concept values.
  • Publication in Semantic Media Wiki with interlinked pages and grouping into 37 collections.
  • Application of the DiversityDescriptions SQL database for schema setup and testing.

Main Results:

  • The MOD-CO schema version 1.0 has been established.
  • It includes a detailed ontology for meta-omics data and collection objects.
  • The schema is published via a Semantic Media Wiki and supported by a database application.
  • MOD-CO can serve as a backbone for R&D laboratory information management systems.

Conclusions:

  • The MOD-CO schema provides a robust framework for managing meta-omics data and collection objects.
  • It addresses the limitations of existing schemas by incorporating operational details.
  • MOD-CO facilitates standardized data handling and enhances the capabilities of laboratory information management systems.