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Related Concept Videos

Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Data Collection III01:05

Data Collection III

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 patient.
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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 II01:29

Data Collection II

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 family,...
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...

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Managing, Analyzing and Sharing Research Data with Gen3 Data Commons.

Craig Barnes1, Kyle Burton1, Michael S Fitzsimons1

  • 1Center for Translational Data Science University of Chicago, Chicago, Illinois, USA.

Scientific Data
|May 19, 2026
PubMed
Summary
This summary is machine-generated.

Gen3 is an open-source data platform for creating data commons, enabling research communities to manage, analyze, and share data. It automatically generates data portals and FAIR APIs for seamless data access and interoperability.

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Area of Science:

  • Biotechnology
  • Bioinformatics
  • Data Science

Background:

  • Research communities require robust platforms for managing and sharing large datasets.
  • Existing data platforms often lack standardization and interoperability.
  • The need for cloud-based solutions to facilitate data commons creation is growing.

Purpose of the Study:

  • To introduce Gen3, an open-source data platform for building data commons.
  • To highlight Gen3's capabilities in data management, analysis, and sharing.
  • To emphasize Gen3's role in fostering interoperability within research ecosystems.

Main Methods:

  • Gen3 utilizes a data model to autogenerate a data portal for data exploration.
  • It provides a separate portal for data submission into the data commons.
  • Gen3 exposes FAIR APIs for programmatic data access.
  • The platform is built on standards-based software services for interoperability.

Main Results:

  • Gen3 has been successfully implemented to build over 30 data commons globally.
  • The platform facilitates the creation of user-friendly data portals.
  • FAIR APIs enable efficient and standardized data access.
  • Gen3's architecture supports integration with other data platforms.

Conclusions:

  • Gen3 offers a scalable and flexible solution for establishing data commons.
  • The platform promotes data sharing and collaboration among research communities.
  • Gen3's standards-based approach enhances data interoperability and future-proofing.