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Data Reporting and Recording

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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...
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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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The cardiovascular system's chief role is to disseminate gases, nutrients, waste, and other substances to the body's cells. Small molecules like gases, lipids, and lipid-soluble substances directly diffuse through capillary wall endothelial cell membranes. Glucose, amino acids, and ions, including sodium, potassium, calcium, and chloride, use transporters for facilitated diffusion via membrane-specific channels. Glucose, ions, and bigger molecules may also pass through intercellular...
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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 III01:05

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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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Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
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  1. Home
  3. The Common Fund Data Ecosystem (cfde).
  1. Home
  3. The Common Fund Data Ecosystem (cfde).

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The Common Fund Data Ecosystem (CFDE).

Julie A Jurgens1,2, Andreas Bueckle3, Jeet Vora4

  • 1Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Biorxiv : the Preprint Server for Biology
|April 17, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

The NIH Common Fund Data Ecosystem (CFDE) unifies diverse NIH datasets for easier discovery and analysis. This federated approach enables cross-program insights and fosters collaborative, data-driven research.

Keywords:
CFDEanalysis workflowbiomedical data integrationcloud computingcollaborative sciencedata visualizationdiscoveryinteroperabilitymetadata harmonizationsustainability

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Area of Science:

  • Biomedical Informatics
  • Data Science
  • Genomics and Multi-omics Data Integration

Background:

  • NIH Common Fund programs generate valuable but heterogeneous datasets.
  • Discoverability, accessibility, and reusability of these datasets are often challenging.
  • A unified infrastructure is needed to link and enrich these disparate data resources.

Purpose of the Study:

  • To describe the evolution, structure, and core technologies of the NIH Common Fund Data Ecosystem (CFDE).
  • To present practical approaches for data submission, integration, visualization, and public release.
  • To demonstrate how CFDE facilitates integrative analysis and data-driven discovery across multiple NIH programs.

Main Methods:

  • Development of a standards-driven, federated data infrastructure.
  • Implementation of tools for data submission, integration, and visualization.
  • Creation of training programs and workforce initiatives to promote adoption.
  • Leveraging cross-dataset queries and integrative tools for analysis.

    • Main Results:

    • CFDE successfully integrates data from 18 NIH Common Fund programs.
    • Solutions were devised for challenges including data scale, heterogeneity, and integration.
    • The platform supports multimodal data submission, visualization, and public release.
    • Integrative tools and cross-dataset queries yielded previously infeasible insights.

    Conclusions:

    • CFDE enhances and unifies cross-disciplinary resources through a federated approach.
    • The initiative fosters collaboration and accelerates data-driven discovery.
    • Standards-driven integration is critical for maximizing the utility of large-scale biomedical datasets.