Results 21 to 30 of about 5,339,965 (304)

Features of a FAIR vocabulary

open access: yesJournal of Biomedical Semantics, 2023
Background The Findable, Accessible, Interoperable and Reusable(FAIR) Principles explicitly require the use of FAIR vocabularies, but what precisely constitutes a FAIR vocabulary remains unclear.
Fuqi Xu   +5 more
doaj   +1 more source

Counterfactual risk assessments, evaluation, and fairness [PDF]

open access: yesProceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020
Algorithmic risk assessments are increasingly used to help humans make decisions in high-stakes settings, such as medicine, criminal justice and education. In each of these cases, the purpose of the risk assessment tool is to inform actions, such as medical treatments or release conditions, often with the aim of reducing the likelihood of an adverse ...
Amanda Coston   +3 more
openaire   +2 more sources

FAIR-IMPACT project response to "Community-driven governance of FAIRness assessment: an open issue, an open discussion"

open access: yes, 2023
At the end of 2022, an author group led by the EOSC Association Task Force on FAIR Metrics and Data Quality published ‘Community-driven governance of FAIRness assessment: an open issue, an open discussion’ which, as the title suggests, aims to foster an ...
Jonquet, Clement   +9 more
core   +2 more sources

REVISIÓN SISTEMÁTICA SOBRE LAS PROBLEMÁTICAS Y DIFICULTADES DE LA APLICACIÓN DEL CONCEPTO DE VALOR RAZONABLE A PARTIR DE LAS PUBLICACIONES ACADÉMICAS EN EL PERÍODO 2015-2017

open access: yesRevista Criterio Libre, 2020
This paper arises from the concern to review the difficulties and complexities in the application of the concept of fair value, given that in some economies, such as Latin American ones, in some cases there are not active markets for the ...
Ruth Alejandra Patiño Jacinto   +3 more
doaj   +1 more source

Towards an extensible FAIRness assessment of FAIR Digital Objects [PDF]

open access: yesResearch Ideas and Outcomes, 2022
The objective of the FAIR Digital Objects Framework (FDOF) is for objects published in a digital environment to comply with a set of requirements, such as identifiability, and the use of a rich metadata record (Santos 2021, Schultes and Wittenburg 2019 ...
Vincent Emonet   +3 more
doaj   +3 more sources

Fair value: history, assessment and financial crisis [PDF]

open access: yesAccounting and Financial Control, 2017
For the last 20 years fair value accounting has considerably extended its domain. Fair value is a probabilistic market value, which is expected to be obtained on the basis of forecasting of future events, connected with an asset sale or transfer of ...
Iryna Burdenko
doaj   +1 more source

FAIRifying a scholarly publishing service: Methodology based on the OpenEdition’s internal FAIR audit

open access: yesJournal of Electronic Publishing, 2022
The FAIR principles (Findability, Accessibility, Interoperability, and Reusability) constitute a guide whose aim is to improve the management of digital scholarly resources.
Arnaud Gingold, Karla Avanço
doaj   +2 more sources

D5.2 - Metrics for automated FAIR software assessment in a disciplinary context

open access: yes, 2023
This deliverable from Task 5.2 (FAIR metrics for research software) on "Metrics for automated FAIR software assessment in a disciplinary context" is part of Work Package 5 on "Metrics, Certification and Guidelines" within the FAIR-IMPACT project.
Shepeherdson, John   +12 more
core   +1 more source

Fairness in Assessment: Identifying a Complex Adaptive System

open access: yesPerspectives on Medical Education, 2023
Introduction: Assessment design in health professions education is continuously evolving. There is an increasing desire to better embrace human judgement in assessment. Thus, it is essential to understand what makes this judgement fair. This study builds
Nyoli Valentine   +3 more
doaj   +1 more source

Assessing and Enforcing Fairness in the AI Lifecycle

open access: yesProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
A significant challenge in detecting and mitigating bias is creating a mindset amongst AI developers to address unfairness. The current literature on fairness is broad, and the learning curve to distinguish where to use existing metrics and techniques for bias detection or mitigation is difficult.
Calegari R.   +3 more
openaire   +3 more sources

Home - About - Disclaimer - Privacy