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

Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

287
The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
287
Social Foundations of Self II: The Generalized Other01:20

Social Foundations of Self II: The Generalized Other

234
According to George Herbert Mead, as children progress beyond the game stage, they develop a more comprehensive understanding of societal rules and norms. This cognitive and social development enables them to internalize the expectations of the broader community, refining their ability to regulate behavior.Consistent participation in organized activities is crucial in helping children recognize that their actions are not isolated but contribute to a more significant, interconnected group...
234
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

498
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
498
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.7K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.7K
Community Based Intervention01:30

Community Based Intervention

281
Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
281
Revisionist Views of Adolescent and Adult Cognition01:24

Revisionist Views of Adolescent and Adult Cognition

288
A revisionist approach to Jean Piaget's theory of cognitive development has brought new insights that challenge and reinterpret his established ideas. Piaget proposed that the formal operational stage, emerging in adolescence, represents the culmination of cognitive maturity. During this stage, individuals are said to develop abstract thinking, engage in systematic problem-solving, and show a form of egocentrism, believing others are as preoccupied with their behavior as they are...
288

You might also read

Related Articles

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

Sort by
Same author

The FAIR journey of a patient-driven registry: Reflections and practical solutions from the Duchenne Data Platform FAIRification experience.

Journal of neuromuscular diseases·2025
Same author

Towards a new vision of PaNET: enhancing reasoning capabilities for better photon and neutron data discovery.

Journal of synchrotron radiation·2025
Same author

Announcing the Biomedical Data Translator: Initial Public Release.

Clinical and translational science·2025
Same author

The FLAIR-GG federated network of FAIR germplasm data resources.

Scientific data·2024
Same author

A study on interoperability between two Personal Health Train infrastructures in leukodystrophy data analysis.

Scientific data·2024
Same author

Semantic units: organizing knowledge graphs into semantically meaningful units of representation.

Journal of biomedical semantics·2024

Related Experiment Video

Updated: Jan 19, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

1.1K

Evaluating FAIR maturity through a scalable, automated, community-governed framework.

Mark D Wilkinson1, Michel Dumontier2, Susanna-Assunta Sansone3

  • 1Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Departamento de Biotecnología-Biología Vegetal, Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid (UPM), Madrid, Spain. markw@illuminae.com.

Scientific Data
|September 22, 2019
PubMed
Summary

We developed a scalable framework to assess the Findable, Accessible, Interoperable, and Reusable (FAIR) principles for digital resources. This automatable system uses community-defined indicators and tools to provide a roadmap for improving data FAIRness.

More Related Videos

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

9.0K
Frailty Assessment in an Aging Mouse Model
06:58

Frailty Assessment in an Aging Mouse Model

Published on: September 23, 2025

438

Related Experiment Videos

Last Updated: Jan 19, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

1.1K
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

9.0K
Frailty Assessment in an Aging Mouse Model
06:58

Frailty Assessment in an Aging Mouse Model

Published on: September 23, 2025

438

Area of Science:

  • Data Science
  • Digital Curation
  • Information Science

Background:

  • Increasing demand for transparent evaluation of digital resource FAIRness from diverse stakeholders.
  • Need for standardized, automatable methods to assess FAIR principles across scientific domains.

Purpose of the Study:

  • To propose a scalable and automatable framework for evaluating the FAIRness of digital resources.
  • To facilitate community-driven, domain-specific FAIR assessments.

Main Methods:

  • Development of a framework comprising Maturity Indicators (community-authored specifications), Compliance Tests (web apps for testing), and the Evaluator (a web application for assembly and reporting).
  • Utilizing open-source tools and participation guidelines for a community-driven infrastructure.
  • Focus on measurable indicators for automated assessment of FAIR behaviors.

Main Results:

  • The framework provides a detailed report on how a machine perceives a digital resource.
  • The Evaluator tool generates a roadmap for data stewards to incrementally improve resource FAIRness.
  • Demonstration of a community-driven infrastructure for FAIR assessments.

Conclusions:

  • The proposed framework offers a practical and realistic approach to enhancing the FAIRness of digital resources.
  • Community involvement in defining FAIR assessment criteria is crucial for domain relevance and adoption.
  • Automatable FAIR evaluations support scientific transparency and data management best practices.