FAIR

Mind the gap – what to expect when practicing FAIR

Xiaoli Chen FAIR, FAIR Workflows, Projects

Implementing FAIR Workflows: A Proof of Concept Study in the Field of Consciousness is a 3-year project funded by the Templeton World Charity Foundation. In this project, DataCite works with a number of partners on providing an exemplar workflow that researchers can use to implement FAIR practices throughout their research lifecycle. In this monthly blog series, the different project participants will share perspectives on FAIR practices and recommendations. 

In this post, Xiaoli Chen, project lead at DataCite, reflects on the gap between acknowledging FAIR and practicing FAIR.

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The pitfalls of traditional workflows – with a silver lining

Zefan Zheng and Xiaoli Chen FAIR Workflows, Projects

Implementing FAIR Workflows: A Proof of Concept Study in the Field of Consciousness is a 3-year project funded by the Templeton World Charity Foundation. In this project, DataCite works with a number of partners on providing an exemplar workflow that can be used by researchers to implement FAIR practices throughout their research lifecycle. In this monthly blog series, the different project participants will share perspectives on FAIR practices and recommendations.
In this first blog post, we hear from Zefan Zheng, who is doing his PhD at the Max Planck Institute for Empirical Aesthetics and responsible for the neuroscience experiments in the project.

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Making the most out of available Metadata

Martin Fenner Uncategorized

Metadata are essential for finding, accessing, and reusing scholarly content, i.e. to increase the FAIRness [@https://doi.org/10.1038/sdata.2016.18] of datasets and other scholarly resources. A rich and standardized metadata schema that is widely used is the first step, encouraging users to register these metadata (as many of these are optional and not required) is the second step, while […]

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