This ExPaNDS project deliverable describes a FAIR self-assessment undertaken by the ten ExPaNDS partner Photon and Neutron Research Infrastructures (PaN RIs) over the three-month period July – September 2022. After reviewing selected examples of existing FAIR evaluation frameworks designed to enable assessment at different levels (dataset, repository, and organisation), the report describes the evaluation approach adopted for the ExPaNDS FAIR self-assessment. As no existing framework met our specific need to focus on FAIR workflows and processes in PaN RIs, it was necessary to select, combine, and adapt existing frameworks. Supported by four underlying guiding principles, our approach drew heavily on the FAIR Principles, the RDA FAIR Data M...
Short introduction describing the scope of the group and if any previous activities Data sharing s...
Providing practical solutions for implementing FAIR principles throughout the lifecycle of research ...
This specification contains 14 metrics proposed by FAIRsFAIR to evaluate FAIRness of research data i...
FAIR (Findable, Accessible, Interoperable, Reusable) data management practices are not necessarily w...
Research Infrastructures within the Photon and Neutron science community have a significant track re...
The ExPaNDS project is the European Open Science Cloud (EOSC) Photon and Neutron Data Service: a col...
ExPaNDS deliverable D2.3: Final data policy framework for photon and neutron RIs, considers how data...
ExPaNDS WP2 has the objective of Enabling FAIR Data, providing guidelines, recommendation and practi...
The ExPaNDS project is a collaboration between 10 national Photon and Neutron Research Infrastructur...
The present deliverable pursues the work initiated in ExPaNDS deliverable 2.2, which established a c...
This report is a milestone of the FAIRsFAIR project. It includes two main results on FAIR assessment...
This paper presents the new photon and neutron research data policy framework based on the previous ...
RDA P14 JOINT SESSION - Helsinki, 25 oct 2019 SHARC / FAIRsharing / FAIR Data Maturity Model groups ...
The overall goal of FAIRsFAIR is to accelerate the realization of the goals of the European Open Sci...
The 15 FAIR data principles are intended to be applied to a dataset, but the acronym FAIR is also us...
Short introduction describing the scope of the group and if any previous activities Data sharing s...
Providing practical solutions for implementing FAIR principles throughout the lifecycle of research ...
This specification contains 14 metrics proposed by FAIRsFAIR to evaluate FAIRness of research data i...
FAIR (Findable, Accessible, Interoperable, Reusable) data management practices are not necessarily w...
Research Infrastructures within the Photon and Neutron science community have a significant track re...
The ExPaNDS project is the European Open Science Cloud (EOSC) Photon and Neutron Data Service: a col...
ExPaNDS deliverable D2.3: Final data policy framework for photon and neutron RIs, considers how data...
ExPaNDS WP2 has the objective of Enabling FAIR Data, providing guidelines, recommendation and practi...
The ExPaNDS project is a collaboration between 10 national Photon and Neutron Research Infrastructur...
The present deliverable pursues the work initiated in ExPaNDS deliverable 2.2, which established a c...
This report is a milestone of the FAIRsFAIR project. It includes two main results on FAIR assessment...
This paper presents the new photon and neutron research data policy framework based on the previous ...
RDA P14 JOINT SESSION - Helsinki, 25 oct 2019 SHARC / FAIRsharing / FAIR Data Maturity Model groups ...
The overall goal of FAIRsFAIR is to accelerate the realization of the goals of the European Open Sci...
The 15 FAIR data principles are intended to be applied to a dataset, but the acronym FAIR is also us...
Short introduction describing the scope of the group and if any previous activities Data sharing s...
Providing practical solutions for implementing FAIR principles throughout the lifecycle of research ...
This specification contains 14 metrics proposed by FAIRsFAIR to evaluate FAIRness of research data i...