Helmholtz Metadata Collaboration | Conference 2022

Session

Session

5 Oct 2022, 10:20

virtual, details will be shared with you after registration

Conveners

Session: FAIRification

• Karl Gerald van den Boogaart (Helmholtz-Zentrum Dresden-Rossendorf)

5. HMC Impulse "How FAIR is my data? Benefits and pitfalls of quantitative assessment of FAIRness."

Markus Kubin (HMC, HZB), Pedro Videgain Barranco (Forschungszentrum Jülich)

05/10/2022, 10:20

Publishing data in a FAIR [1] way is already part of good scientific practice. While institutional policy as well as funding and publishing guidelines support this, scientist, technicians, and data stewards struggle to realize it when handling their research data. The reason is that the FAIR principles are high level principles and guidelines rather than concrete implementations. This is one...

6. Project eFAIRs: current status and next steps

Angelo Strollo (GFZ)

05/10/2022, 10:35

The seismological community promotes since decades standardisation of formats and services as well as open data policies which are making easy data exchange an asset for this community. Thus, data is made perfectly Findable and Accessible as well as Interoperable and Reusable with enhancements expected for the latter two. The strict and technical domain specific standardisation may complicate...

7. Project HERMES: Automated FAIR4RS software publication with HERMES

Stephan Druskat (German Aerospace Center (DLR))

05/10/2022, 10:50

Software as an important method and output of research should follow the RDA "FAIR for Research Software Principles". In practice, this means that research software, whether open, inner or closed source, should be published with rich metadata to enable FAIR4RS.
For research software practitioners, this currently often means following an arduous and mostly manual process of software...

8. Project HELIPORT: The Integrated Research Data Lifecycle of the HELIPORT Project

Oliver Knodel (Helmholtz-Zentrum Dresden-Rossendorf)

05/10/2022, 11:05

The HELIPORT project aims to make the components or steps of the entire life cycle of a research project at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) and the Helmholtz-Institute Jena (HIJ) discoverable, accessible, interoperable and reusable according to the FAIR principles. In particular, this data management solution deals with the entire lifecycle of research experiments, starting...