This session will address the ubquity of spatial data within research and try to identify already existing research in different Helmholtz fields that is leveraging its multidimensial and temporal qualities. We will try to identify the obvious and perhapsalso the more hidden links to FAIR data of other domains.
Workshop Part 1: A first draft of a HMC trainings concept, that was developed by the office, will be presented. In the introduction to the draft concept, the proposed central topics and stakeholders on which the future HMC training should focus will be shown, as well as short, medium and long-term measures identified to achieve these goals.
This session explores how we can monitor HMC services in a lightweight but effective way. Key points include which services should be monitored, what aspects to monitor (health checks, resource usage, logs), which tools to use (e.g., Uptime Kuma, Netdata), whether monitoring should be handled individually by service owners or coordinated HMC-wide, and how monitoring results could be made...
In addition to datasets and publications, scientific instruments represent one of the most valuable resources of research centers and institutes. DataCite allows the registration of persistent identifiers (DOIs) and the collection of metadata for both datasets and instruments, including the possibility of linking them. What is still missing, however, is a semantic representation that enables...
Review of past survey activities and discuss ideas for future survey activities of HMC
The concept presented will be discussed together with the participants. The feedback given on the training concept will be evaluated and documented together. We will begin to adapt/extend the proposed HMC training concept presented based on the feedback we receive.
This session looks at how AI tools (e.g., Cursor, Windsurf, GitHub Copilot, GPT-5, Claude Sonnet) are changing the way software is developed. We will explore their usefulness in coding, testing, documentation, and infrastructure tasks, while also discussing risks such as hallucinations, data privacy, and skill decay. The session will also consider whether HMC should adopt shared guidelines and...
One of the key elements of TF Harmony is one-on-one consulting with individual data providers. This session aims to gather experience from within HMC on consulting, what worked well, what lessons were learned.
