FAIR steht im wissenschaftlichen Kontext für das Akronym Findable, Accessible, Interoperable und Reusable. Der Vortrag gibt im ersten Teil einen kurzen theoretischen Überblick über die FAIR-Prinzipien und stellt die Aktivitäten der Research Data Alliance (RDA) vor. FAIR-Projekte wie FAIRsFAIR, GOFAIR, aber auch die Aktivitäten der European Open Science Cloud (EOSC) werden behandelt. Im zweiten Teil werden zwei existierende Tools zur Unterstützung der Evaluierung exemplarisch vorgestellt. F-UJI aus dem FAIRsFAIR Projekt und der OpenAIRE FAIR-Assistant Validator.Der Vortrag scließt mit einem Ausblick auf aktuelle Entwicklungen in der FAIR-Community und den Evaluator-Tools
To that aim, a FAIR criteria assessment survey has been launched to seek feedback from the scientifi...
The FAIR Data Principles propose that all scholarly output should be Findable, Accessible, Interoper...
International audienceThe open science movement has gained significant momentum within the last few ...
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...
Digitale Repositorien – ob institutionell oder fachspezifisch – als Infrastrukturen für die Speicheru...
The Thuringian Competence Network for Research Data Management established the FAIRest DataSet Award...
Die FAIR-Prinzipien „Findability, Accessibility, Interoperability and Reusability“ (Auffindbarkeit, ...
Der Metadaten-Aggregator OpenAIRE - Open Access Infrastructure for Research in Europe (https://www.o...
The FAIR principles formulate guidelines for the sustainable reusability of research data. FAIR stan...
For open science to flourish, data and any related digital outputs should be discoverable and re-usa...
Forschungsförderer und politische Entscheidungsträger empfehlen ausdrücklich die Übernahme der FAIR-...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
In this poster we present the FAIR-IMPACT project, "Expanding FAIR solutions across EOSC", which is...
The FAIR Principles were designed to improve the findability, accessibility, interoperability and re...
To that aim, a FAIR criteria assessment survey has been launched to seek feedback from the scientifi...
The FAIR Data Principles propose that all scholarly output should be Findable, Accessible, Interoper...
International audienceThe open science movement has gained significant momentum within the last few ...
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...
Digitale Repositorien – ob institutionell oder fachspezifisch – als Infrastrukturen für die Speicheru...
The Thuringian Competence Network for Research Data Management established the FAIRest DataSet Award...
Die FAIR-Prinzipien „Findability, Accessibility, Interoperability and Reusability“ (Auffindbarkeit, ...
Der Metadaten-Aggregator OpenAIRE - Open Access Infrastructure for Research in Europe (https://www.o...
The FAIR principles formulate guidelines for the sustainable reusability of research data. FAIR stan...
For open science to flourish, data and any related digital outputs should be discoverable and re-usa...
Forschungsförderer und politische Entscheidungsträger empfehlen ausdrücklich die Übernahme der FAIR-...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
In this poster we present the FAIR-IMPACT project, "Expanding FAIR solutions across EOSC", which is...
The FAIR Principles were designed to improve the findability, accessibility, interoperability and re...
To that aim, a FAIR criteria assessment survey has been launched to seek feedback from the scientifi...
The FAIR Data Principles propose that all scholarly output should be Findable, Accessible, Interoper...
International audienceThe open science movement has gained significant momentum within the last few ...