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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 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 by Experiments01:13

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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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Data Collection I01:30

Data Collection I

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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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Faraday Disk Dynamo01:23

Faraday Disk Dynamo

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A Faraday disk dynamo is a DC generator, producing an emf that is constant in time. It consists of a conducting disk that rotates with a constant angular velocity in the magnetic field, perpendicular to the disk's plane. The rotation of the disk causes a change in magnetic flux, which induces an emf, causing opposite charges to develop on the rim and in the center of the disk. The polarity of the induced emf can be determined by the direction of the magnetic field and the direction of the...
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Data Collection III01:05

Data Collection III

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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.
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...
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FlywheelTools: Data Curation and Manipulation on the Flywheel Platform.

Tinashe M Tapera1,2, Matthew Cieslak1,2, Max Bertolero1,2

  • 1Penn Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, United States.

Frontiers in Neuroinformatics
|July 9, 2021
PubMed
Summary
This summary is machine-generated.

Reproducibility in neuroimaging is enhanced by FlywheelTools, a new software toolbox. These tools streamline data curation into the Brain Imaging Data Structure (BIDS) standard on the Flywheel platform, accelerating research.

Keywords:
BIDSFlywheelcurationneuroimagingneuroinformatics

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Area of Science:

  • Neuroscience
  • Data Science
  • Scientific Computing

Background:

  • Reproducibility is a growing concern in neuroimaging research.
  • Cloud-based databases like Flywheel are increasingly used for managing large-scale imaging data.
  • The Brain Imaging Data Structure (BIDS) is the standard for neuroimaging data, but its curation can be difficult.

Purpose of the Study:

  • To address challenges in curating neuroimaging data into BIDS on the Flywheel platform.
  • To introduce FlywheelTools, a software toolbox designed for reproducible data curation and manipulation.
  • To accelerate reproducible neuroscience research by improving data management workflows.

Main Methods:

  • Development of FlywheelTools, a software toolbox for Flywheel.
  • Implementation of `fw-heudiconv` for heuristic-driven BIDS curation.
  • Inclusion of `flaudit` for auditing and inventorying Flywheel projects.

Main Results:

  • FlywheelTools provides solutions for BIDS curation limitations on Flywheel.
  • `fw-heudiconv` facilitates efficient and accurate data organization into BIDS.
  • `flaudit` enhances project management and data transparency.

Conclusions:

  • FlywheelTools significantly accelerates reproducible neuroscience research.
  • The toolbox enhances the usability of the Flywheel platform for BIDS data management.
  • These tools support the broader adoption of standardized data formats in neuroimaging.