The poster presents FAIR assessment experiences in the context of the two NFDI consortia KonsortSWD and BERD@NFDI, employing the established Research Data Alliance's FAIR Data Maturity Model (RDA-FDMM) and the F-UJI Tool, an automated solution. RDA-FDMM, a manual technique, is more comprehensive, while the automated F-UJI tool effectively detects areas of improvement in metadata presentation that automated means can address. Our experiences highlight the need to examine both machine-readable as well as non-machine-readable elements and acknowledge automated tools' limitations, while valuing their insights. As the research ecosystem advances, metadata representation should be made increasingly machine-readable. We recommend a "FAIR by design...
In April 2020, the Research Data Alliance (RDA) Working Group “FAIR data maturity model” published t...
Funders and policy makers have strongly recommended the uptake of the FAIR principles in scientific ...
The Thuringian Competence Network for Research Data Management established the FAIRest DataSet Award...
The proposal presents FAIR assessment experiences in the context of KonsortSWD and BERD@NFD, employi...
This report is a milestone of the FAIRsFAIR project. It includes two main results on FAIR assessment...
F-UJI is a tool based on REST to assess of the FAIRness of research data. It has been applied to pil...
This presentation is given during the RDA – SciELO 25 Years Seminar, Open Science Modus Operandi of ...
FAIR steht im wissenschaftlichen Kontext für das Akronym Findable, Accessible, Interoperable und Reu...
English: This overview presents a selection of FAIR assessment tools. The categories also use the a...
Introduction: Assigning a PID to a whole dataset, as common practice within research data management...
For research data to be reusable by scientists or machines, the data and associated meta-data should...
Providing practical solutions for implementing FAIR principles throughout the lifecycle of research ...
The 15 FAIR data principles are intended to be applied to a dataset, but the acronym FAIR is also us...
The talk presents the development of two of the main outputs of Task 4.5 (FAIR Data Assessment- Pilo...
The FAIR-IMPACT project supports the implementation of FAIR-enabling practices, tools and services. ...
In April 2020, the Research Data Alliance (RDA) Working Group “FAIR data maturity model” published t...
Funders and policy makers have strongly recommended the uptake of the FAIR principles in scientific ...
The Thuringian Competence Network for Research Data Management established the FAIRest DataSet Award...
The proposal presents FAIR assessment experiences in the context of KonsortSWD and BERD@NFD, employi...
This report is a milestone of the FAIRsFAIR project. It includes two main results on FAIR assessment...
F-UJI is a tool based on REST to assess of the FAIRness of research data. It has been applied to pil...
This presentation is given during the RDA – SciELO 25 Years Seminar, Open Science Modus Operandi of ...
FAIR steht im wissenschaftlichen Kontext für das Akronym Findable, Accessible, Interoperable und Reu...
English: This overview presents a selection of FAIR assessment tools. The categories also use the a...
Introduction: Assigning a PID to a whole dataset, as common practice within research data management...
For research data to be reusable by scientists or machines, the data and associated meta-data should...
Providing practical solutions for implementing FAIR principles throughout the lifecycle of research ...
The 15 FAIR data principles are intended to be applied to a dataset, but the acronym FAIR is also us...
The talk presents the development of two of the main outputs of Task 4.5 (FAIR Data Assessment- Pilo...
The FAIR-IMPACT project supports the implementation of FAIR-enabling practices, tools and services. ...
In April 2020, the Research Data Alliance (RDA) Working Group “FAIR data maturity model” published t...
Funders and policy makers have strongly recommended the uptake of the FAIR principles in scientific ...
The Thuringian Competence Network for Research Data Management established the FAIRest DataSet Award...