Introducing the FAIR Principles for research software

Introducing the FAIR Principles for research software | Scientific Data

A FAIR research software counterpart is being developed to complement the highly successful ARDC FAIR data self-assessment tool. This new tool ...

Introducing the FAIR Principles for research software - PubMed

Research software is a fundamental and vital part of research, yet significant challenges to discoverability, productivity, quality, ...

(PDF) Introducing the FAIR Principles for research software

To make this research software findable, accessible, interoperable, and reusable (FAIR), we need to define exactly what FAIR means for research software and ...

Introducing the FAIR Principles for research software - Ex Libris

Research software is a fundamental and vital part of research, yet significant challenges to discoverability, productivity, quality, reproducibility, ...

The FAIR for Research Software Principles after two years

The FAIR for Research Software (FAIR4RS) Principles aim to promote and encourage the findability, accessibility, interoperability, and reusability (FAIR) of ...

Introducing the FAIR Principles for research software

The process of developing FAIR principles for research software was based on understanding the differences between research software and research data.

FAIR Principles for Research Software (FAIR4RS Principles) - Zenodo

Many of the FAIR Guiding Principles can be directly applied to research software by treating software and data as similar digital research ...

Towards FAIR principles for research software

Until now the FAIR principles have been mostly applied to research data. The ideas behind these principles are, however, also directly relevant ...

Bringing FAIR Principles to AI Models | Department of Energy

Researchers extend findable, accessible, interoperable, and reusable principles for datasets to scientific datasets and software.

The FAIR principles: A quick introduction - IDBS

These principles were introduced to address the challenges of data sharing and reuse in scientific research, but they can also be applied to other domains.

FAIRsoft—a practical implementation of FAIR principles for research ...

One step to address this problem is the formulation of principles that research software in the domain should meet to ensure its quality and sustainability, ...

FAIR Principles for research software article now online

Making data Findable, Accessible, Interoperable and Reusable (FAIR) is fundamental to our work at The Netherlands eScience Center. As a national ...

FAIR Principles for Research Software (FAIR4RS Principles) 1.0

Many of the FAIR Guiding Principles can be directly applied to research software by treating software and data as similar digital research ...

Introducing the FAIR Principles for research software - OUCI

This emergence reflects a maturation of the research community to better understand the crucial role of FAIR research software in maximising research value. The ...

force11/FAIR4RS - GitHub

Many of the high-level FAIR data principles can be directly applied to research software by treating software and data as similar digital research objects.

Towards FAIR Principles for Research Software - Labs - IOS Press

24 June 2020 | Carmel McNamara, IOS Press, Amsterdam, NL The most viewed article in Data Science in the first half of 2020 focuses on FAIR ...

The FAIR Principles - The Turing Way

The FAIR guiding principles for scientific data management and stewardship [WDA+16] were developed as guidelines to improve the Findability, Accessibility, ...

Introducing the FAIR Principles for research software

FAIR Principles for Research Software (FAIR4RS Principles) 1.0 · Software 100% · Guiding Principle 25% · Data Stewardship 12% · Explanatory Text 12% · Scientific ...

Did you know about the FAIR for Research Software Principles?

When we hear the terms open science and FAIR principles (findability, accessibility, interoperability, and reusability), ...

FAIR Principles

In 2016, the 'FAIR Guiding Principles for scientific data management and stewardship' were published in Scientific Data. The authors intended to provide ...