The FAIR Principles were designed to improve the findability, accessibility, interoperability and reusability of data holdings by humans and machines. The principles can be applied to research information too. We present the results of the discussions that took place during the series of online workshops with experts on Research Information and FAIR Guiding Principles. We provide high-level criteria on how to foster findable, accessible, interoperable and reusable, and we hope that our roadmap for FAIR research information in open infrastructures bring many benefits to a diverse group of stakeholders of the scientific ecosystem
In recent years, the scholarly community has examined its culture and practices, and found a set of ...
The FAIR principles outline key attributes to make digital resources more Findable, Accessible, Inte...
In this review, we discuss FAIR Data, why it exists, and who it applies to. We further review the pr...
The FAIR Principles were designed to improve the findability, accessibility, interoperability and re...
The FAIR principles provide guidance for improving Findability, Accessibility, Interoperability and ...
The open science movement is gaining strength and momentum worldwide, signalling a fundamental shift...
Building on previous summaries of the attributes that make research data most usable by other scient...
This is a summary report of the series of workshops on FAIR research information in open infrastruct...
This is a summary report of the series of workshops on FAIR research information in open infrastruct...
Open science has been prioritized by the European Council for the environment of research and educat...
Humanity has a mix of overlapping goals that relate to science (and more broadly, wissenschaft). We ...
The Open Science agenda holds that science advances faster when we can build on existing results. Th...
This report investigates the meaning and (potential) impact of the FAIR data principles in practice....
Introduction to FAIR principles and their application for PhD students. As the landscape of scientif...
Findable, accessible, interoperable and reusable (FAIR) data are an increasingly important aspect of...
In recent years, the scholarly community has examined its culture and practices, and found a set of ...
The FAIR principles outline key attributes to make digital resources more Findable, Accessible, Inte...
In this review, we discuss FAIR Data, why it exists, and who it applies to. We further review the pr...
The FAIR Principles were designed to improve the findability, accessibility, interoperability and re...
The FAIR principles provide guidance for improving Findability, Accessibility, Interoperability and ...
The open science movement is gaining strength and momentum worldwide, signalling a fundamental shift...
Building on previous summaries of the attributes that make research data most usable by other scient...
This is a summary report of the series of workshops on FAIR research information in open infrastruct...
This is a summary report of the series of workshops on FAIR research information in open infrastruct...
Open science has been prioritized by the European Council for the environment of research and educat...
Humanity has a mix of overlapping goals that relate to science (and more broadly, wissenschaft). We ...
The Open Science agenda holds that science advances faster when we can build on existing results. Th...
This report investigates the meaning and (potential) impact of the FAIR data principles in practice....
Introduction to FAIR principles and their application for PhD students. As the landscape of scientif...
Findable, accessible, interoperable and reusable (FAIR) data are an increasingly important aspect of...
In recent years, the scholarly community has examined its culture and practices, and found a set of ...
The FAIR principles outline key attributes to make digital resources more Findable, Accessible, Inte...
In this review, we discuss FAIR Data, why it exists, and who it applies to. We further review the pr...