The Working Group "Scientific Data Management"

For a state-of-the-art research data management it is recommended to consider the data life cycle first. Our long-term goal is to document the entire data life cycle regarding the Findable, Accessible, Interoperable and Reusable (FAIR) way. A similar principles also applies to software software.

Especially the steps from the creation of the research data until the publication of data and results should be included in the final publication. We developed a concept for the entire research project lifecycle which contains all essential components and with a focus on (meta)data exchange. Descriptions about the individual components provided by our working group can be found in our Top-Level Service Strategy.

Mission

We are developing a concept of a data ­manage­ment lifecycle for our scientists at HZDR. This implies the integration of existing data sources, documentation of experiments, gathering metadata,­ manage­ment and integration of data analysis of primary data as well as establishing a complete data provenance with integrated workflows.

Support

We provide support for existing or planned projects concerning the above presented topics. The electronic documentation is often the first point of contact with this subject. Automated data acquisition and interfaces with analysis programs are also common main topics. We will support the establishment and initialization of an executable version of data aquicition. The goal will always be that the involved scientists will be able to continue and optimize the projects by themselves afterwards. Our group will always be available for further questions.

Overall Services of the Group

Get in touch with us for questions or assistance. Our Services can be searched in the Research Data Services and the HZDR IT service catalog. The main topics of our group are:

• All around "Research Data Management",
• Support in optimizing HPC applications and workloads, 
• Infrastructure for managing a project life cycle with our HZDR infrastructure,
• Documentation of experiments (Lab Documentation System),
• Automated inbound data transfers into our systems from multiple data sources,
• Establishment of workflows related to the FAIR principles,
• Support in archiving of research data, workflows and the scientific publication itself.

Services for the Topic "Data Management & Analysis"

"Data Management & Analysis" is a new research topic in the research program "Matter & Technology" of the Helmholtz research field "Matter". The Computational Science department hosts a small group, which supports the domain scientists in the Institute of Radiation Physics working on the same topic. The group is responsible for maintaining mission critical software components as well as interfacing them with the software solutions of HZDR as well as the research field.

• Software co-design for high performant, platform independent components

  

• Performance analysis and support with the optimization of existing applications
• Traingings and workshops on all our work topics, especially also supporting the "Highly parallel programming of GPUs" class at TU Dresden

The Team

Useful Links

• IT Service catalogue
• Publication of research data and research software at HZDR
• High Performance Computing at HZDR
• Systems:
  • HELIPORT: heliport.hzdr.de
  • Proposal managment system GATE: gate.hzdr.de
  • Data Management Plan (RDMO): rdmo.hzdr.de
  • Grafana: grafana.hzdr.de
  • Lab documentations systems:
    • MediaWiki: wiki.hzdr.de
    • MediWiki (FWK): athene.fz-rossendorf.de
    • Metadata Catalogue: SciCat (evaluation system)
  • Version control system GitLab: gitlab.hzdr.de
  • Data publication platform RODARE: rodare.hzdr.de

Current and Past Projects

Post-processing for TELBE Experiment

Organize Documentation for FMR experiments

Provide an ETL Workflow for Turbulence Fluid Dynamic Simulations

Automated GitLab CI-Job for the bitstream cration on Hemera

Manage DRESDYN Simulations

Organize Documentation in Blitzlab

Provide a Toolflow for FPGA-DAQ Development using High-Level-Synthesis

Provide project IDs with and without proposals

Provide access to environmental data of ELBE laboratories

Test OPC-UA Client

Prepare data for upload to HEPData repository

Organize Documentation for flotation model experiments