Name: HZDR Data and Software Management Days 2024
Start: 2024-10-28T13:00:00+01:00
End: 2024-10-29T13:30:00+01:00
Location: HZDR

Monday 28 October
- Mon 28 Oct
- Tue 29 Oct
- 1
  Welcome and Invited Talks I
  - a) Introduction
    
    Speaker: Dr Uwe Konrad (HZDR)
    
    DSMD24_Introduction_Agenda.pdf
  - b) Data Management Strategy
    
    The HZDR data policy is in place since 2018 and we support our scientist with tools and services and support the science behind it. In order to better align the future developments in the field of data managment at HZDR with the needs of our research areas at HZDR, we want to work with our scientists to develop requirements, data lifecycle, processes and prototypical, generic workflows. The goal is to develop our data management strategy in a transparent and participatory way. This talk presents the current state and next steps.
    
    Speaker: Oliver Knodel (Helmholtz-Zentrum Dresden-Rossendorf)
    
    DM-Talk_Strategy_Animations.pdf
    
    DM-Talk_Strategy.pdf
  - c) Research Data Management at GSI: An overview and an outlook
    
    The GSI Helmholtz Centre for Heavy Ion Research is a large-scale accelerator laboratory located in Darmstadt. Research at the facility spans many areas, including nuclear, atomic, and particle physics, materials research, bio-physics, and detector, computing and accelerator technologies.
    
    The rich nature of the fields of study reflects the challenges for the institutional management of research data due to the diverse nature of the generated datasets.
    
    This talk will outline current RDM practices at GSI, including tools and resources available for researchers. An explanation of the Open Science related projects and activities will be included, and the longer term goals of these infrastructures. An outlook will be given towards evolving RDM for both GSI and the new FAIR facility, where data generation rates and complexity will be increased by orders of magnitude.
    
    Speaker: Andrew. K. Mistry (GSI Helmholtzzentrum für Schwerionenforschung GmbH(GSI))
    
    AKM_HZDR_GSI_RDM_v1.pdf
  - d) Advancing Research Data Management at HZDR: Insights from the Helmholtz Metadata Collaboration
    
    In this presentation we introduce the Helmholtz Metadata Collaboration (HMC). We will explore HMC's services, tools and insights relevant to address metadata needs of Matter- and Energy-communities at HZDR.
    
    Speaker: Markus Kubin (HMC, HZB)
  - e) Software Policy and Good Practices in Research Software Development at HZDR
    
    Research software is a central pillar in science in general, in Helmholtz and at HZDR in particular. Our software policy at HZDR provides orientation for researchers and promotes their independence and ability to act as researchers developing software at HZDR. Advice is given and recommendations are made that cover the whole software development life cycle. The overall objective is to make the process of research software development more sustainable and foster verifiability, traceability and reproducibility of scientific results.
    
    Depending on the classification of the software to be developed in a software application class specific software quality assurance measures are suggested or even enforced as mandatory measures. The policy makes a strong statement towards the development of open source software (OSS) and also gives guidance towards which OSS license to use and why.
    
    The Helmholtz Federated IT Services (HIFIS) offer not only IT services to whole Helmholtz but also trainings and consultings. These offers and our plans to provide further educational resources in a new e-learning platform at HZDR support scientists in their ability to develop high-quality and professional research software.
    
    Speaker: Tobias Huste (Helmholtz-Zentrum Dresden-Rossendorf)
    
    sw-policy-and-good-practices-in-rse.pdf
- 15:00
  
  Coffee Break
- 2
  Workshop Session I
  - a) Workshop: "HZDR Research Data Strategy: Lifecycle, Roles, Requirements, and a Prototypical Experiment"
    
    The aim of this workshop is to develop a data strategy for the HZDR. The importance of a strategy document will be clarified, the different roles and their requirements identified and discussed, and the steps in the prototypical lifecycle that are missing or need to be optimised. Participants are invited to work with us on the various facets of our emerging data management strategy and to accompany this process in a participatory way. The active participation of researchers is crucial to developing a common data strategy for the HZDR.
    
    Speaker: Oliver Knodel (Helmholtz-Zentrum Dresden-Rossendorf)
    
    DM-Workshop_Strategy.pdf
  - b) Workshop: "Research Software Publication"
    
    Software is an important aspect of modern research and a research product in its own right. To save researchers who code the arduous labor of manual publication of each version, they can use the tools developed in the HERMES project. HERMES (HElmholtz Rich MEtadata Software Publication) is an open source project which helps users automate the publication of their software.
    
    In this workshop, attendees will learn, in a hands-on fashion, the basics of publishing research software with rich metadata. This includes choosing the right licenses in accordance with the HZDR software policy, making their code citable by adding authorship information, and publishing it (in an automated way) using the HERMES workflow.
    
    The workshop is aimed at everyone who writes software as part of their research. Workshop attendees are encouraged to bring a piece of their own software they want to publish; ideally already prepared for publication, with a suitable folder structure and without any secrets in the code. Prior basic knowledge of GitLab and GitLab CI/CD are helpful but not required. Please bring your laptop with a working Python and Pip installation to the workshop.
    
    Speakers: David Pape (Helmholtz-Zentrum Dresden-Rossendorf), Sophie Kernchen
    
    Research Software Publication Workshop.pdf
Tuesday 29 October
- Mon 28 Oct
- Tue 29 Oct
- 3
  Workshop Session II
  - a) Workshop: “Research Data Management in Practice: Identifying Needs and Developing Actionable Recommendations"
    
    This workshop, held in collaboration with the SaxFDM team and the Service Centre Research Data (TU Dresden), will focus on the practical implementation of the data management strategy discussed on the previous day. Participants will actively share and discuss their individual practices in researching, experimenting, analysing and publishing digital research objects. Through collaborative brainstorming, we will explore how these real-world processes align with the prototypical data lifecycle and identify specific needs and challenges from everyday scientific life, such as necessary resources and responsibilities. The aim is to translate these findings into actionable recommendations such as action plans, checklists and guidelines to support the practical implementation of the strategy. Following the workshop, such materials will be developed and made available to ensure the continuous and effective application of the recommendations. The active participation of researchers is essential for a successful and sustainable data management strategy at the HZDR.
    
    Speakers: Alina Bastian (ZIH/SaxFDM), Johannes Sperling (SaxFDM), Maik Fiedler (HZDR), Oliver Knodel (Helmholtz-Zentrum Dresden-Rossendorf), Robert Müller (ZIH/Kontaktstelle FDM - TU Dresden), Torsten Gille (ZIH/Kontaktstelle FDM - TU Dresden)
    
    2024-HZDR_Data_Management Day_Fllipchart-presenation.pdf
  - b) Workshop: "FAIR Research Data Management in a git-like manner with Datalad"
    
    The workshop will present a FAIR data management approach using the Datalad tool. It is a generic approach which is not tied to any specific scientific community. And it is very close to code revision management with git and gitlab so that everyone familiar with those can re-use their knowledge and experience. At the same time, the presented approach is tailored to collaborative data management in small teams or large projects, either confidentially or world-wide public.
    
    In the workshop there will be a presentation of the software tools and the basic steps followed by a hands-on session with a generic example data collection. If you want to follow yourself, please bring a laptop, ideally with git, git-annex, and datalad [1] already installed, and have your Helmholtz gitlab account ready [2].
    
    [1] https://handbook.datalad.org/en/latest/intro/installation.html#install-datalad
    [2] https://www.hzdr.de/db/Cms?pOid=51932&pNid=680
    
    Speaker: Andreas Knuepfer
    
    datalad.pdf
- 10:30
  
  Coffee Break
- 4
  Invited Talks II and Closing
  - a) Advancing Open Science: Current Developments and Initiatives in Research Data Management at Helmholtz
    
    In 2022, the General Assembly of the Helmholtz Association adopted the Helmholtz Open Science Policy, thus creating a framework to accompany the cultural shift towards open scientific practices. The Helmholtz Open Science Office supports this process, which includes developments in the field of open research data and research software.
    In the context of research data management (RDM), the FAIR principles provide a guiding framework for increasing the benefits and impact of research data while supporting the implementation of open science practices. By embedding practical strategies, the integration of Open Science into data management strategies not only enhances the quality, integrity and impact of research but also fosters collaboration, transparency, and innovation within the scientific community and beyond. This broader framework includes providing the necessary open infrastructures within a federated research infrastructure that is aligned with UNESCO Recommendation on Open Science and initiatives such as the Coalition for Advancing Research Assessment (CoARA) and the Barcelona Declaration on Open Research Information.
    In the presentation, we will introduce current developments to RDM and Open Science and outline ongoing initiatives at Helmholtz to implement them.
    
    Speaker: Steffi Genderjahn (Helmholtz Open Science Office)
    
    2024-10-29_HZDR_data_software_OS_Office.pdf
  - b) Data Management Makes Machine Learning Easier
    
    Data management benefits the collaboration between Helmholtz AI consultants and researchers. We give practical examples how each letter in FAIR (data) makes it easier for machine learning experts to work with the data and therefore improves the quality of the outcome.
    This can serve as a general motivation for researchers to mprove their data management.
    
    Speaker: Till Korten
    
    Data Management makes machine learning easier (HZDR).pdf
  - c) Central research data management services provided by DRESDEN-concept and SaxFDM
    
    Data is an essential part of research and therefore invaluable to researchers. Systematic research data management (RDM) provides support for daily research practice and, in the context of good scientific practice, is a prerequisite for the reproducibility of scientific research and the re-use of data. In this talk, the Service Center Research Data of TU Dresden and SaxFDM present their RDM services available to the researchers at HZDR.
    
    Speakers: Alina Bastian (ZIH/SaxFDM), Dr Robert Müller (ZIH/Kontaktstelle FDM - TU Dresden), Dr Torsten Gille (ZIH/Kontaktstelle FDM - TU Dresden)
  - d) Closing
    
    Speaker: Oliver Knodel (Helmholtz-Zentrum Dresden-Rossendorf)

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