Time: | July 13, 2022, 2:00 p.m. (CEST) |
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The Special Interest Group Data Infrastructure offers a forum to interested working groups that want to set up or further develop an RDM infrastructure at working group or institute level. We invite you to a monthly SIGDIUS seminar, to which we invite internal and external experts for presentations and discussions. SIGDIUS members will have the opportunity to exchange their experiences with concrete RDM infrastructures.
We cordially invite all interested parties to our next meeting on 13 July 2022 at 2 pm. This seminar will be held as an online seminar. For participation, please send an e-mail to Juergen.Pleiss@itb.uni-stuttgart.de.
Robert Hubter
(Center for Marine Environmental Sciences (MARUM), University of University of Bremen)
F-UJI – an automated FAIR data assessment tool
To promote and assess the openness and accessibility of scientific data, the FAIR principles now hold a key role. However, they are fairly generic, so verifiable metrics and tools are needed to verify their implementation.This presentation introduces F-UJI which is one of the few available tools that allow automated analysis of the FAIRness of a dataset. The tool is implementing the FAIRsFAIR metrics based on the RDA FAIR Data Maturity Model, is designed as a web service and available as Open Source. It primarily uses common domain-independent standards and best practices for disseminating metadata and data, but also supports some discipline-specific formats and FAIR practices. At https://www.f-uji.net a user-friendly web application is publicly available which allows quick FAIR assessments on individual data sets.
Dr. Robert Huber is a marine geologist and information specialist working at the Center for Marine Environmental Sciences (MARUM), University of University of Bremen, where he is responsible for projects in the field of scientific data management with a focus on research infrastructures and FAIR implementation in the PANGAEA working group (https://www.pangaea.de)
More about the SIGDIUS seminars