Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

754
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
754
Methods of Documentation I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

1.7K
Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:
1.7K
Legal Guidelines for Documentation01:06

Legal Guidelines for Documentation

2.0K
The legal guidelines for nursing documentation are essential for ensuring accurate, professional, and ethical recording of patient care. The guidelines are discussed here:
2.0K
Data Reporting and Recording01:24

Data Reporting and Recording

5.3K
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...
5.3K
Levels of Use of a GIS01:29

Levels of Use of a GIS

367
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
367
Schemas01:42

Schemas

12.3K
A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
12.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cortical and white matter myelination proceed in concert during early infancy.

Nature communications·2026
Same author

Accurately fitting biophysical neuron models to experimental voltage data enabled by meta-learning.

Research square·2026
Same author

Quality assessment and control of unprocessed anatomical, functional and diffusion MRI of the human brain using MRIQC.

Nature protocols·2026
Same author

Highly replicable multisite patterns of adolescent white matter maturation.

bioRxiv : the preprint server for biology·2026
Same author

Microstructural Alterations of the Cerebellum-Ventral Tegmental Area Pathways in First-Episode Psychosis.

Biological psychiatry. Cognitive neuroscience and neuroimaging·2026
Same author

Did you know? State-of-the-art preprocessing diffusion MRI data can improve tractography.

Brain structure & function·2026
Same journal

Zero-shot reconstruction of mutant spatial transcriptomes.

Patterns (New York, N.Y.)·2026
Same journal

Dendritic nonlinearities mitigate communication costs.

Patterns (New York, N.Y.)·2026
Same journal

Erratum: Agentic AI as a coordination paradigm in digital health and agri-food systems.

Patterns (New York, N.Y.)·2026
Same journal

Spacing effect improves generalization in biological and artificial systems.

Patterns (New York, N.Y.)·2026
Same journal

A multi-modal foundation model for brain disease diagnosis and medical imaging.

Patterns (New York, N.Y.)·2026
Same journal

DuoMod-Net: Logarithmic balancing and geometric refinement for imbalanced semi-supervised medical image segmentation.

Patterns (New York, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: Jan 18, 2026

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.7K

Open-source models for development of data and metadata standards.

Ariel Rokem1,2, Vani Mandava2,3, Nicoleta Cristea2,4

  • 1University of Washington, Department of Psychology, Seattle, WA, USA.

Patterns (New York, N.Y.)
|September 10, 2025
PubMed
Summary
This summary is machine-generated.

Open-source software (OSS) models accelerate scientific discovery by enabling adaptable data standards for machine learning and artificial intelligence. Supporting these OSS data standards ensures research reproducibility and transparency.

Keywords:
datametadataopen-source softwarestandards

More Related Videos

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.4K
Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

1.6K

Related Experiment Videos

Last Updated: Jan 18, 2026

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.7K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.4K
Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

1.6K

Area of Science:

  • Cross-disciplinary scientific research
  • Data science
  • Computational science

Background:

  • Machine learning (ML) and artificial intelligence (AI) require aggregated scientific data.
  • Open data principles are crucial for research reproducibility and transparency.
  • Existing data repositories are growing, but interoperability challenges persist.

Purpose of the Study:

  • To explore the benefits of the open-source software (OSS) model for creating and adapting data standards.
  • To address challenges in balancing flexibility and stability in data standards.
  • To ensure sustainability and recognition for OSS data standards development.

Main Methods:

  • Synthesis of experiences from diverse scientific fields: astronomy, high-energy physics, earth science, and neuroscience.
  • Analysis of the open-source software (OSS) model's applicability to data standard creation and adaptation.
  • Consideration of user and developer perspectives on flexibility, stability, and new computing paradigms.

Main Results:

  • The OSS model offers significant advantages for developing and adapting interoperable data standards.
  • Key issues include balancing standard flexibility with stability and adopting new technologies.
  • User and developer perspectives are critical for successful implementation and long-term sustainability.

Conclusions:

  • OSS is a viable and beneficial model for creating and maintaining scientific data standards.
  • Recommendations include supporting and recognizing the development of OSS data standards and software.
  • Alignment with widely adopted scientific tools is essential for broader impact and adoption.