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

Methods of Documentation I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

1.8K
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:
1.8K
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

669
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
669
Archival Research01:40

Archival Research

17.5K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
17.5K
Storage01:23

Storage

452
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
452
Microbial Classification System01:24

Microbial Classification System

1.5K
Classification is the process of organizing organisms into hierarchically inclusive groups based on their phenotypic similarities or evolutionary relationships. A species comprises one or more strains, and closely related species are grouped into genera. Genera are further classified into families, families into orders, orders into classes, and so forth, up to the domain level, which is the broadest taxonomic rank derived from a combination of phenotypic and genotypic data.The nomenclature of...
1.5K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

301
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
301

You might also read

Related Articles

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

Sort by
Same author

Direct Evidence for a Carbon-Carbon One-Electron σ-Bond, or a Weak Carbon-Carbon Interaction?

ChemistryOpen·2026
Same author

Outcomes of patients with unresectable or metastatic melanoma after cessation of immunotherapy following complete metabolic response or toxicities.

Internal medicine journal·2026
Same author

Rider education at Swedish riding schools: Comparing teachers' and pupils' perspectives.

PloS one·2026
Same author

Commentary on MacKechnie-Guire et al. Measuring Noseband Tightness on the Lateral Aspect of the Horse's Face. <i>Animals</i> 2015, <i>15</i>, 537.

Animals : an open access journal from MDPI·2026
Same author

COMPASS Guidelines for Conducting Welfare-Focused Research into Behaviour Modification of Animals.

Animals : an open access journal from MDPI·2026
Same author

Comments on MacKechnie-Guire et al. (2024): Noseband type and tightness level affect pressure on the horse's face at trot.

Equine veterinary journal·2025

Related Experiment Video

Updated: Mar 7, 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

9.8K

A metadata-driven approach to data repository design.

Matthew J Harvey1, Andrew McLean2, Henry S Rzepa3

  • 1High Performance Computing Service, Imperial College London, London, UK.

Journal of Cheminformatics
|February 11, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a metadata-driven repository for research data management. It automatically captures metadata, assigns persistent identifiers, and integrates with commercial software for advanced data analytics.

Keywords:
Data previewData repositoryDataCiteMetadata-drivenMpublish

More Related Videos

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.8K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K

Related Experiment Videos

Last Updated: Mar 7, 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

9.8K
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.8K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K

Area of Science:

  • Data Science
  • Research Data Management
  • Digital Repositories

Background:

  • Effective research data management is crucial for scientific reproducibility and discovery.
  • Existing data repositories often lack robust metadata capture and integration capabilities.
  • Persistent digital object identifiers are essential for data citation and long-term accessibility.

Purpose of the Study:

  • To describe the design and implementation of a metadata-driven data repository.
  • To demonstrate automated metadata collection and registration with DataCite.
  • To showcase integration capabilities with commercial software for enhanced data analytics.

Main Methods:

  • Developed a metadata-driven data repository architecture.
  • Implemented automated metadata extraction during data submission.
  • Integrated with DataCite for metadata registration and persistent identifier assignment.
  • Demonstrated data preview and integration with commercial analytics tools.

Main Results:

  • Successfully implemented a functional metadata-driven data repository.
  • Automated metadata capture and DataCite registration were achieved.
  • Integration with commercial software enabled advanced, domain-specific data analytics without repository customization.
  • Data previews were effectively illustrated.

Conclusions:

  • Metadata-driven repositories streamline research data management.
  • Automated metadata collection and persistent identifiers enhance data discoverability and usability.
  • Integration with external tools provides powerful analytical capabilities without compromising repository integrity.