The Helmholtz Metadata Collaboration (HMC) has officially launched the HMC dashboard on open and FAIR data in Helmholtz. The dashboard allows users to monitor and interactively analyze statistics on open and FAIR data produced by researchers in the Helmholtz Association. It can be used to analyze in which repositories Helmholtz researchers make their data publicly available, to monitor progression over time and to understand what one can do to improve the FAIRness of data. In an interactive meeting in February 2023, HMC Hub Matter has officially released their newly developed dashboard to participants from all across the Helmholtz Association. The dashboard is publicly available on https://fairdashboard.helmholtz-metadaten.de
The Helmholtz Open Science Office (OS Office) embraces this mission since it was founded by the Helm...
The Helmholtz Association (Anonymous 2022d), the largest association of large-scale research centres...
Presentation for the Amsterdam UMC Tutorial series: Open Science and FAIR data // Ronald Cornet (APH...
In this talk, held at the 2nd Helmholtz Open Science Practice Forum in October 2022, a pilot dashboa...
Making research data reusable in an open and FAIR[1] way is part of good scientific practice and is ...
Data are constantly being produced as part of research activities. A powerful and futureoriented res...
The Helmholtz Metadata Collaboration (HMC) has taken on the task of utilizing the potential of resea...
Towards a FAIR Data Space for Helmholtz Earth and Environment data Infrastructures HMC Earth and ...
HMC Earth and Environment (E&E) strives to define, create and activate a Helmholtz FAIR Data Space (...
The desired Interoperability of data as outlined by the FAIR principles, requires a harmonization of...
Slides for presenting project HERMES at "HMC Fair Friday" seminar series, on 2022-12-09. This talk w...
Supporting Helmholtz’s research communities in making their data FAIR is one of the key missions of ...
To share best practices and to foster the research data management (RDM) community within Helmholtz,...
Annotation of research data with rich metadata is important to make that data findable, accessible, ...
Empirical research can generate large amounts of data for analysis. This data is the essential objec...
The Helmholtz Open Science Office (OS Office) embraces this mission since it was founded by the Helm...
The Helmholtz Association (Anonymous 2022d), the largest association of large-scale research centres...
Presentation for the Amsterdam UMC Tutorial series: Open Science and FAIR data // Ronald Cornet (APH...
In this talk, held at the 2nd Helmholtz Open Science Practice Forum in October 2022, a pilot dashboa...
Making research data reusable in an open and FAIR[1] way is part of good scientific practice and is ...
Data are constantly being produced as part of research activities. A powerful and futureoriented res...
The Helmholtz Metadata Collaboration (HMC) has taken on the task of utilizing the potential of resea...
Towards a FAIR Data Space for Helmholtz Earth and Environment data Infrastructures HMC Earth and ...
HMC Earth and Environment (E&E) strives to define, create and activate a Helmholtz FAIR Data Space (...
The desired Interoperability of data as outlined by the FAIR principles, requires a harmonization of...
Slides for presenting project HERMES at "HMC Fair Friday" seminar series, on 2022-12-09. This talk w...
Supporting Helmholtz’s research communities in making their data FAIR is one of the key missions of ...
To share best practices and to foster the research data management (RDM) community within Helmholtz,...
Annotation of research data with rich metadata is important to make that data findable, accessible, ...
Empirical research can generate large amounts of data for analysis. This data is the essential objec...
The Helmholtz Open Science Office (OS Office) embraces this mission since it was founded by the Helm...
The Helmholtz Association (Anonymous 2022d), the largest association of large-scale research centres...
Presentation for the Amsterdam UMC Tutorial series: Open Science and FAIR data // Ronald Cornet (APH...