In close collaboration with the National Institute for Public Health and the Environment (RIVM), Ammar Ammar (Maastricht University) contributed to a study in which several FAIR assessment tools are evaluated based on criteria specifically designed for this study. During this Data Trail workshop, he presented the main work of his upcoming paper on this topic. https://web.archive.org/save/https://www.dariah.eu/event/dans-data-trail-workshop-fair-data-assessment-tools-an-evaluation
One way to support data management planning for FAIR data is to incorporate FAIR criteria more expli...
The process of making data Findable, Accessible, Interoperable and Reusable (FAIR - FAIRification) v...
The poster presents FAIR assessment experiences in the context of the two NFDI consortia KonsortSWD ...
In close collaboration with the National Institute for Public Health and the Environment (RIVM), Amm...
The 15 FAIR data principles are intended to be applied to a dataset, but the acronym FAIR is also us...
This report is a milestone of the FAIRsFAIR project. It includes two main results on FAIR assessment...
A SURF report. SURF is the collaborative ICT organisation for Dutch education and research. SURF off...
The FAIR guiding principles for data stewardship are a set of recommendations for making research ob...
Presentation for the Amsterdam UMC Tutorial series: Open Science and FAIR data // Ronald Cornet (APH...
Providing practical solutions for implementing FAIR principles throughout the lifecycle of research ...
This 2022 online survey was conducted and evaluated by CODEX+ WP2.2, over the course from September ...
FAIR steht im wissenschaftlichen Kontext für das Akronym Findable, Accessible, Interoperable und Reu...
The FAIR Expertise Hub for the Social Sciences, funded by PDI-SSH, is being established to support d...
** PRE-PRINT and NOT PEER-REVIEWED** This practice paper describes an ongoing research project to ...
The Thuringian Competence Network for Research Data Management established the FAIRest DataSet Award...
One way to support data management planning for FAIR data is to incorporate FAIR criteria more expli...
The process of making data Findable, Accessible, Interoperable and Reusable (FAIR - FAIRification) v...
The poster presents FAIR assessment experiences in the context of the two NFDI consortia KonsortSWD ...
In close collaboration with the National Institute for Public Health and the Environment (RIVM), Amm...
The 15 FAIR data principles are intended to be applied to a dataset, but the acronym FAIR is also us...
This report is a milestone of the FAIRsFAIR project. It includes two main results on FAIR assessment...
A SURF report. SURF is the collaborative ICT organisation for Dutch education and research. SURF off...
The FAIR guiding principles for data stewardship are a set of recommendations for making research ob...
Presentation for the Amsterdam UMC Tutorial series: Open Science and FAIR data // Ronald Cornet (APH...
Providing practical solutions for implementing FAIR principles throughout the lifecycle of research ...
This 2022 online survey was conducted and evaluated by CODEX+ WP2.2, over the course from September ...
FAIR steht im wissenschaftlichen Kontext für das Akronym Findable, Accessible, Interoperable und Reu...
The FAIR Expertise Hub for the Social Sciences, funded by PDI-SSH, is being established to support d...
** PRE-PRINT and NOT PEER-REVIEWED** This practice paper describes an ongoing research project to ...
The Thuringian Competence Network for Research Data Management established the FAIRest DataSet Award...
One way to support data management planning for FAIR data is to incorporate FAIR criteria more expli...
The process of making data Findable, Accessible, Interoperable and Reusable (FAIR - FAIRification) v...
The poster presents FAIR assessment experiences in the context of the two NFDI consortia KonsortSWD ...