2–5 Jul 2024
GEOMAR Helmholtz Centre for Ocean Research Kiel
Europe/Berlin timezone

Session VI (Fri)

30. Use cases for an HMC hosted instance of FAIR assessment tool F-UJI, and considerations for the future

by Gabriel Preuß

  • Target group: Users of F-UJI, people interested in automated FAIR assessments (max. 15 participants)
  • Abstract: For the HMC Dashboard on Open and FAIR Data, we set up a self-scaling F-UJI (FAIRsFAIR Research Data Object Assessment Service) instance at the DESY Kubernetes Cluster. Although the service is used by the dashboard for assessing datasets, its capacity is underused most of the time.
  • Objective: This session aims to promote the service within HMC and identify further use cases in the near future. Additionally, we will discuss Dr. Robert Huber's announcements on the HMC FAIR Friday about the planned updates for F-UJI and explore how HMC can provide support and get involved.

Additional discussion points may include the role of F-UJI in HMC and research field specific fair implementation profiles, metrics, or other resources.

  • Agenda: Discussion & brainstorming

 

31. Tasks and responsibilities of various stakeholder group as the cultural change - how can we implement them in the Helmholtz System

by Emanuel Söding

  • Target group: data stewards / professionals (max. 15 participants)
  • Abstract: At the Helmholtz Association, we strive to establish a well-formed harmonized data space, connecting information across distributed data infrastructures. This requires standardizing the description of data sets with suitable metadata to achieve interoperability and machine actionability. There are many ways to draw logical connections between datasets. These include bibliographical information, common semantic expressions and a variety of administrative metadata. Information describing and uniquely identifying people, organizations, publications, vocabularies, samples, and instruments should be be referenced across infrastructures to create a high level of interoperability. This will allow us to build connections between data sets from different repositories according to common meta information. To achieve this, EVERYONE providing information within the scientific workflow, is responsible for small distinct pieces of information. These pieces should be connected by a logic, the knowledge graph, and will then form the data space. In this session, we will try to identify: 
    • Which stakeholder group is responsible for which part of information?
    • How can we address these stakeholder groups across Helmholtz and make them aware of their role in the RDM system?
    • How can we address and encourage these groups to implement the HMC recommended procedures necessary to harmonize our data systems?
  • Objective: see above
  • Agenda: Discussion & brainstorming

 

32. How can we better support the projects (Group II)

by Witold Arndt

  • Target group: past, current and perspective HMC projects PIs & participants, HMC Apparatchiks (HMC-A: Office, Co, SB, CB, SAB), Incubator people, (max. 15 participants)
  • Abstract: We want to keep the instrument of HMC Calls as a dynamic, fast-paced approach to tangible solutions for meta-data centric workflow challenges in Helmholtz research. At the same time, we have now an opportunity to adapt this call to large-scale changes in the research fields, a stronger collaboration between the platforms and incorporate lessons learned from the past four instalments. We want to focus on further integrating the future projects into the HMC ecosystem and their deliverables into our portfolio.
  • Objective: Review the call, discuss problems, create a draft of a white paper for HMC-A to develop on further.
  • Agenda: Focus group discussion:
    • Introduction, expectations, scope, housekeeping [5 min, Witold]
    • Collection of experience (good, bad, ugly) [20 min; all]
    • Outlook on future options of calls [10 min; Witold, HMC-A, Incubator, …]
    • What should we try to implement in any case? [15 min; Office]

 

33. Unlocking the Potential of Metadata: Exploring the Versatile Information Portal for your Project

by Lucas Kulla

  • Target group: Everyone (max. 14 participants)
  • Abstract: The HMC Information Portal (IP) is a versatile web application for the interactive collection, editing and presentation of structured data according to definable categories and schemes. Its original purpose was to map and chart the Helmholtz research landscape in the different domains, a product of CCT1. The current status can be seen here: https://informationportal.helmholtz-metadaten.de/

The underlying software framework for the portal is quite versatile and can be used for other scenarios, both for public and institutional data collections. It is easy to deploy and has flexible options for collaboration and synchronisation.

In this session we would like to present the capabilities of the system and discuss specifically with the HMC projects and the other Helmholtz platforms how this tool could be useful for their research and (meta)data management challenges.

Possible Use Cases:

    • Instrument database

    • Harmonizing data between private and public entities using the same schema

    • Managing resources such as instruments and datasets within groups or institutions

  • Objective:
    • Creating an understanding of the capabilities of the Information Portal
    • Identifying Potential Use Cases
    • Planning of next steps
  • Agenda:
    • Introduction (10 minutes): Overview of the IP, its features, and benefits
    • Brainstorming Session (15 minutes): Group discussion to explore possible Use Cases
    • Q&A Session (5 minutes): Addressing questions from participants
    • Second Brainstorming Session (15 minutes): Continued exploration of Use Cases
    • Wrap-up and Identification of Next Steps (10 minutes): Summarizing discussions and planning further actions

 

34. Share your favourite data set? (Hackathon)

by Özlem Özkan, Gerrit Günther

  • Target group: data professionals and researchers from all scientific disciplines (max. 20 participants)
  • Abstract: This workshop aims to foster a collaborative environment where participants can discuss and evaluate various data sets across different scientific domains. Key questions to be addressed include: What makes a data set good or bad? What are the intended uses of these data sets, whether for publication, internal work-group purposes, or other applications? Participants will have the opportunity to share their experiences, opinions and insights, highlighting the strengths and weaknesses of their preferred data sets. Through these discussions, we aim to identify common elements and approaches that contribute to the quality and utility of data sets, regardless of the scientific domain. The ultimate goal of the workshop is to derive a set of best practices for creating and utilizing data sets.
  • Objective: Derive some best practices for data sets that are domain-agnostic.
  • Agenda: This interactive session will combine elements of workshop and brainstorming.

 

35. Open Session

36. Open Session