Workshop: Strategies for Data Science and Data Management

Europe/Berlin
Wissenschaftszentrum Bonn, Ahrstr. 45, 53175 Bonn
Ilona Grunwald Kadow, Jan-Henrik Haunert (uni-bonn), Sebastian Neubert (Helmholtz-Institut für Strahlen- und Kernphysik), Waldemar Kolanus
Description

Researchers in all empirical sciences produce and deal with increasingly larger and more complex data sets. Modern digital technologies enable the collection, manipulation, combination, and interpretation of data products for various research applications on ever-expanding scales. The challenges encountered when dealing with such data are shared across the research community. While solutions in many cases are custom-built, driven by, and tailored toward explicit scientific questions, the fundamental questions of how to manage research data, how to maximize its scientific value, and how to enable reuse for data mining and reinterpretation concern everybody.

This workshop will bring together researchers from across the TRAs who  produce and deal with large and complex data sets and generate digital research products. We wish to stimulate an exchange of ideas and common challenges.

The workshop has three goals:

  • Get an overview of the ongoing activities
  • Identify common strengths, challenges, and development directions
  • Provide feedback to the university on future requirements for an excellent digital infrastructure

As an outcome of the workshop, we foresee a whitepaper on requirements for modern research data management and data science infrastructures, which can inform the university's strategic planning in this area.

Presented by TRA Life and Health, TRA Matter and TRA Modelling

Registration
Registration
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  • Tuesday, 17 January
    • 08:30 09:15
      Registration 45m
    • 09:15 09:25
      Welcome 10m
    • 09:25 10:25
      Plenary Talks
      • 09:25
        Research Data Management at Bonn University 30m

        Research Data Management and the FAIR principles are becoming science policy mainstream. They are increasingly demanded on different levels by decision makers, funders and research institutions alike.
        Yet, many scientific communities still lack established conventions, guidelines and infrastructures for handling research data properly. This makes it difficult for many researchers to implement a sound and practical RDM strategy that fulfils the FAIR principles.
        The University of Bonn formed the Research Data Service Center (RDCS) in a move to provide the best possible support to researchers in addressing these challenges. The RDSC offers advice, training and basic IT services for handling research data.
        This presentation gives an overview on the dynamically evolving RDM landscape in Europe and Germany and presents the current and planned support infrastructure for researchers at Bonn University.

        Speaker: Dr Christian Bittner (Servicestelle Forschungsdaten SFD-ULB, Uni-Bonn)
      • 09:55
        Open Science in Germany and Europe 30m
        Speaker: Prof. Konrad Förstner (ZB MED)
    • 10:25 11:00
      Coffee 35m
    • 11:00 12:30
      Plenary Talks
      • 11:00
        Collaborative Software Development and Data Analysis Pipelines 30m
        Speaker: Nicholas DelGrosso
      • 11:30
        New developments in artificial intelligence for data science 30m
        Speaker: Prof. Christian Bauckhage (IAI)
      • 12:00
        Knowledge graphs for spatio-temporal data analytics 30m
        Speaker: Prof. Elena Demidova (Institut für Informatik, Universität Bonn)
    • 12:30 13:30
      Lunch 1h
    • 13:30 16:35
      Plenary Talks: NFDI Projects : Contributions worked on in Bonn
      • 13:30
        NFDI4Health 20m
        Speaker: Juliane Fluck (uni-bonn)
      • 13:50
        NFDI4Culture 20m
        Speaker: Domenic Zingsheim (Institute for Computer Science II (Uni Bonn))
      • 14:10
        FairAgro 20m

        FAIRagro: FAIR Data Infrastructure for Agrosystems

        Speaker: Jan-Henrik Haunert (uni-bonn)
      • 14:30
        NFDI4Objects 20m
        Speaker: Matthias Lang (uni-bonn)
      • 14:50
        PUNCH4NFDI 20m
        Speaker: Philip Bechtle (uni-bonn)
      • 15:10
        Coffee Break 20m
      • 15:30
        Federated Digital Infrastructures for Astro and Particle Physics 20m
        Speaker: Oliver Freyermuth (University of Bonn)
      • 15:50
        Digital Research Infrastructures at Bonn University 30m

        In this presentation, we will provide an overview of the technical infrastructure and services to support scientists at Bonn University throughout the research data life cycle. The overview includes services such as data storage infrastructure, research data repositories, and electronic lab notebooks.

        Speaker: Dr Sergej Zerr (Servicestelle Forschungsdaten SFD-HRZ, Uni-Bonn)
    • 16:35 18:20
      Posters
    • 17:00 19:00
      Wine and Cheese
  • Wednesday, 18 January
    • 09:00 10:30
      Plenary Talks
      • 09:00
        Big data and life sciences 30m
        Speakers: Joachim L. Schultze (DZNE, Universität Bonn), Joachim Schultze (uni-bonn)
      • 09:30
        Data-driven Research in the Life Sciences 30m
        Speaker: Jan Hasenauer (Faculty of Mathematics and Natural Sciences, Rheinische Friedrich-Wilhelms-Universität Bonn, 53115 Bonn, Germany)
      • 10:00
        High Performance Computing in Bonn 30m

        Infrastructures for high performance and high throughput computing.

        Speaker: Dr Dirk Barbi (HPC Team Leader at HRZ, University of Bonn)
    • 10:30 10:50
      Coffee 20m
    • 10:50 12:50
      Discussion: Whitepaper Working Groups
    • 10:50 12:50
      Hands-On Tutorials
      • 10:50
        Hands on session: Research documentation - Electronic Lab-Logbook RSpace 2h
        Speaker: Dr Daniel Rudolf (Servicestelle Forschungsdaten SFD-ULB, Uni-Bonn)
      • 10:50
        How to document and share my data? 2h

        Digitization is changing day-to-day research practices across all fields of academic inquiry. Research data of every kind are collected, processed, analyzed, published and archived in digital systems. The term Research Data Management (RDM) refers to a range of activities and topics relating to the handling of digital research data.
        In this hands-on workshop the focus will be on data organization (folder structures, file naming, versioning), documentation (ways of data documentation, metadata: definition, examples and importance) and sharing (why data sharing is key, research data repositories, do’s and don’ts about data sharing).

        Speaker: Dr Ewa Bres (Servicestelle Forschungsdaten SFD-ULB, Uni-Bonn)
    • 12:50 13:50
      Lunch 1h
    • 13:50 14:50
      Discussion: Working Group Reports - Conclusion