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Related Concept Videos

Data Reporting and Recording01:24

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
Data Collection I01:30

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...
Methods of Documentation III: PIE01:21

Methods of Documentation III: PIE

Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:
F Distribution01:19

F Distribution

The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
Methods of Documentation IV: Focus Charting01:26

Methods of Documentation IV: Focus Charting

Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
It typically involves three columns for recording information:
Data: Types and Distribution01:19

Data: Types and Distribution

In biostatistics, data are the observations collected for analysis. There are two main types: parametric and non-parametric. Parametric data, which include continuous (e.g., weight) and discrete numerical data (e.g., number of tablets), assume a particular distribution pattern, often the normal distribution. Non-parametric data do not adhere to a specific distribution and typically comprise nominal (e.g., gender) and ordinal categorical data (e.g., pain scale ratings).
Distributions in...

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Experimental and Data Analysis Workflow for Soft Matter Nanoindentation
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Making data sharing work: the FCP/INDI experience.

Maarten Mennes1, Bharat B Biswal, F Xavier Castellanos

  • 1Donders Institute for Brain, Cognition and Behaviour, Dept. of Cognitive Neuroscience, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.

Neuroimage
|November 6, 2012
PubMed
Summary
This summary is machine-generated.

Open access data sharing in functional neuroimaging, pioneered by fMRI Data Center, faced barriers. Current initiatives like 1000 Functional Connectomes Project and International Neuroimaging Datasharing Initiative show promise despite ongoing privacy and cultural challenges.

Keywords:
DatabaseInformaticsNeuroinformaticsOpen scienceOpen-accessR-fMRIfMRI

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Area of Science:

  • Neuroimaging
  • Data Science
  • Open Science

Background:

  • The fMRI Data Center (fMRIDC) was an early pioneer in open-access data sharing for task-based functional neuroimaging.
  • Logistical, sociocultural, and funding issues hindered the widespread adoption of fMRIDC's open-access model.
  • In 2009, the resting-state functional MRI community launched the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Datasharing Initiative (INDI) to revive open-access data sharing.

Purpose of the Study:

  • To examine the progress and challenges of open-access data sharing in functional neuroimaging.
  • To discuss the successes of the FCP and INDI in large-scale data aggregation.
  • To address persistent controversies including participant privacy, informatics, and establishing an open science ethos.

Main Methods:

  • Review of historical data sharing initiatives (fMRIDC).
  • Analysis of grassroots initiatives (FCP, INDI) for resting-state fMRI data.
  • Discussion of ongoing challenges and potential solutions.

Main Results:

  • FCP and INDI have successfully aggregated thousands of clinical and non-clinical imaging datasets.
  • These initiatives demonstrate the feasibility of large-scale data aggregation for hypothesis testing.
  • Despite successes, widespread embracement of open-access data sharing remains a challenge.

Conclusions:

  • Open-access data sharing in neuroimaging has evolved significantly since fMRIDC.
  • Current initiatives like FCP and INDI show promise but face persistent privacy, logistical, and cultural hurdles.
  • Addressing these challenges is crucial for fostering a robust open science ethos in the field.