5–6 Oct 2022
virtual, details will be shared with you after registration
Europe/Berlin timezone

Lessons learned from applying the FAIR Data Maturity Model to a prototypical data pipeline in Matter

2-38
Not scheduled
20m
virtual, details will be shared with you after registration

virtual, details will be shared with you after registration

Poster Postersession Postersession I

Speakers

Markus Kubin (HMC, HZB) Gerrit Guenther (Helmholtz-Zentrum Berlin)

Description

A central mission of HMC is to support the data producers of the Helmholtz community in making their data FAIR. Developing a sustainable strategy for doing so requires a detailed understanding of community-specific practices, strengths, and limitations related to the application of each FAIR data guideline. We have applied the FAIR Data Maturity Model, developed by the respective RDA working group, to a prototypical data pipeline in the research field Matter. In our poster presentation, we would like to provide an overview of our approach and discuss the lessons learned that helped us identify key activities for meeting community needs.

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FAIR Assessment, RDA, FDMM, Matter

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HMC Hub Matter

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Primary authors

Markus Kubin (HMC, HZB) Gerrit Guenther (Helmholtz-Zentrum Berlin) Heike Görzig (HZB) Luigia Cristiano (HZB) Oonagh Mannix (HMC matter/HZB) Rolf Krahl (Helmholtz-Zentrum Berlin für Materialien und Energie)

Presentation materials