NFDI-MatWerk Spring School 2025 in Aachen – Research Data Management in Materials Science and Engineering

Why is it important?

Enabling a consistent and unobstructed standardization of research data will lead to substantial improvements in efficiency and synergies/collaboration among individual researchers and well-designed IT systems. In the era of digital infrastructures, this measure holds paramount importance in shaping the future of research. For the data to be sustainable and reusable, it must adhere to the “FAIR Data Principles”, meaning it should be “Findable, Accessible, Interoperable, and Re-usable”.

The FAIR principles will be a cornerstone of the European Open Science Cloud (EOSC) implementation. Nowadays, Data Management Plans (DMPs) have become a requirement for project applications in Horizon Europe and are increasingly being demanded by various funding organizations, including the German Science Foundation (DFG), among others.  

The scientific consortium NFDI-MatWerk (National Research Data Infrastructure) focuses on the research area Materials Science & Materials Engineering (MSE). The central challenge is the digital representation of materials and their relevant process and load parameters. NFDI-MatWerk will provide in this summer school tailored information and solutions for dealing with research data in MSE.

Who can apply?

PhD-students and Post-Docs working in experimental and/or modeling/simulation in any field of materials science and engineering (with or without experience in RDM). Advanced Master Students are also welcome to apply.

The Spring School will take place:

📅 From Tuesday, April 8th to Thursday, April 10th, 2025

📍 At RWTH Aachen University, IT Center, Aachen

Registration deadline: March 15, 2025

Please keep in mind that the number of participants is limited. Therefore, the “First Come-First Served” principle will be applied. Those who register first will have priority to obtain a place in the spring school.

Contents of the spring school
  • Keynote: Artificial Intelligence in MSE
  • Introduction to Research Data Management (RDM)
  • Do’s and dont’s in RDM
  • RDM as a Cultural Change
  • Data Management Plan (DMP)
  • Electronic Laboratory Notebooks (ELN)
  • Python tools for RDM
  • PyIron: Complex workflows made easy
  • Coscine: Research Data Management Platform
  • Metadata & Metadata Management: A Practical Approach
  • How to Digitalize a Lab? Integration of Proprietary Data
  • Digital Materials Science Lab: Lab Tour IMM & RDM and Workflows
  • NFDI-MatWerk: What is it and how to be part of it?
  • MatWerk Ontology: The Future of the Lab
  • Optional for participants from NRW: Coscine
Target groups and required background

PhD-students and Post-Docs working in experimental and/or modeling/simulation in any field of materials science and engineering (with or without experience in RDM), maximum 20 places will be available. Basic knowledge of programming, for instance in Python, MatLab or similar programing languages would be beneficial.

Participants should bring their own laptop. Please install a python environment on your computer, for instance: Miniconda, PyCharm, Jupyter or at least ipython. It is required in some lectures!

Program

Tuesday, April 8th

10:00 – 10:30  Welcome and introduction to the event – Matthias Müller (RWTH/ITC)

10:30 – 11:30  Keynote: AI – Stefan Sandfeld (FZ Jülich)

11:30 – 12:00 Introduction of the team and the participants

12:00 – 13:00  Lunch break

13:00 – 14:00  Introduction to Research Data Mangement (RDM) – Katharina M. E. Grünwald, Amirreza Moghaddam (RWTH-IT Center)

14:00 – 14:30  Do’s and dont’s in RDM – Steffen Brinckmann (FZ Jülich, RWTH)

14:30 – 15:00 NFDI-MatWerk – Amirreza Moghaddam (RWTH-ITC)

15:00 – 15:30 Break

15:30 – 16:30 Python tools for RDM – Jonathan Hartman (RWTH-DKZ.2R)

16:30 – 17:00 Pyiron – Sarath Menon (MPI)

18:30 – 20:00 Guided Tour Aachen
Meeting point: Tourist Info Elisenbrunnen, Friedrich-Wilhelm-Platz, 52062 Aachen

20:00 – (open) Dinner

Wednesday, April 9th

09:00 – 10:30    Metadata – Sabrine Chelbi (KIT)

10:30 – 11:00 Break

11:00 – 12:00 Metadata management with MatWerk: practical approach – Sabrine Chelbi (KIT)

12:00 – 13:30  Lunch break

13:30 – 15:00   Digital Materials Science Lab – Part 1: Lab tour of IMM – Sandra Korte-Kerzel (RWTH-IMM)

15:00 – 15:30 Break

15:30 – 16:30 Data Management Plan – Katharina M. E. Grünwald, Amirreza Moghaddam (RWTH-ITC)

16:30 – 17:00 Break

17:00 – 18:00 Electronic Lab Notebooks (ELN) – Nicole Parks (RWTH-ITC), Steffen Brinckmann (FZ Jülich, RWTH)

18:00 – 18:30 How to digitalize a lab? Integration of proprietary data – Steffen Brinckmann (FZ Jülich, RWTH)

19:00 – (open) Get together

Thursday, April 10th

9:00 – 10:00    Digital Materials Science Lab – Part 2: RDM and Workflows – Urlich Kerzel (RWTH-IMM)

10:00 – 10:30 Break

10:30 – 12:00 MatWerk Ontology: Future of the lab – Angelika Gedsun (Freiburg), Ebrahim Norouzi (FIZ)

12:00 – 12:30 Break

12:30 – 13:30 RDM as Cultural Change – Norbert Riefler (IWT)

13:30 – 14:00  Farewell

14:00 – 15:00 Lunch

14:30 – 16:00  Optional for participants from NRW: Coscine – Katja Jansen (RWTH-ITC)

Expected Learning Outcomes

Keynote: AI

Python tools for RDM

  • Data Import and Export (e.g. pyexcel-ods)
  • Data representation (matplotlib)
  • Image processing
  • API programing

Introduction to Research Data Management (RDM)

  • File and directory management (unique, consistent data storage on your computer)
  • Can explain and interpret the FAIR principles
  • Short overview of NFDIs
  • Annotate data (tool/program overview)

Do’s and dont’s in RDM

How to be part of NFDI-MatWerk?

PyIron

Metadata

Metadata management with MatWerk: practical approach

Digital Materials Science Lab – Part 1: Lab tour of IMM

Data Management Plan (DMP)

  • Describe the purpose of a data management plan (DMP) in relation to FAIR
  • Create a DMP for their research project
  • Utilize tools, guides, templates, and resources for DMP creation

Electronic Laboratory Notebooks (ELN)

  • Understands the necessity of using ELNs
  • Identify key features of ELNs
  • Identify personal requirements for an ELN
  • Use of an API for lab automation

How to digitalize a lab? Integration of proprietary data

Digital Materials Science Lab – Part 2: RDM and Wokflow

MatWerk Ontology: Future of the lab

RDM as Cultural Change

Optional for participants from NRW: Coscine

Referents and organizers
  • Sandra Korte-Kerzel – RWTH Aachen University, Institut für Metallkunde und Materialphysik (IMM)
  • Ulrich Kerzel – RWTH Aachen University, Institut für Metallkunde und Materialphysik (IMM)
  • Katharina M. E. Grünwald – RWTH Aachen University, IT Center
  • Matthias Müller – RWTH Aachen University, IT Center
  • Amirreza Daei Rezaei Moghaddam – RWTH Aachen University, IT Center
  • Jonathan Hartman – RWTH Aachen University, IT Center, Datenkompetenzzenter Rhein Ruhr (DKZ.2R)
  • Nicole Parks – RWTH Aachen University, IT Center
  • Katja Jansen – RWTH Aachen University, IT Center
  • Steffen Brinckmann – Forschungszentrum Jülich und RWTH Aachen University, Lehrstuhl für Werkstoffmodellierung in der Umformtechnik
  • Stefan Sandfeld – Forschungszentrum Jülich
  • Norbert Riefler – Leibniz-Institut für Werkstofforientierte Technologien Bremen (IWT)
  • Sabrine Chelbi – Karlsruher Institut für Technologie, Scientific Computing Center (KIT-SCC)
  • Ebrahim Norouzi – FIZ Karlsruhe – Leibniz-Institut für Informationsinfrastruktur (FIZ)
  • Angelika Gedsun – University of Freiburg
  • Sarath Menon – Max-Planck-Institut für Eisenforschung Düsseldorf

Organisation:

  • Katharina M. E. Grünwald (gruenwald@itc.rwth-aachen.de) – RWTH Aachen University, IT Center
  • Flavio Soldera (f.soldera@matsci.uni-sb.de) – Universität des Saarlandes, EUSMAT
  • Pranav Nayak (pranav.nayak@uni-saarland.de) – Universität des Saarlandes
Venues

RWTH Aachen Universität, IT Center
Seminarraum 003
Kopernikusstraße 6
52074 Aachen

Online: some lectures will be recorded.

Accommodation

Accommodation is not included in the registration.

Aachen offers a wide range of hotel rooms in various price categories. Participants are free to choose their accommodation, and we kindly ask you to make all bookings directly with the hotel. 

Most hotel reservations require a valid credit card in order to guarantee the booking. We advise you also to check the cancellation terms with the hotel at the time of booking / reserving the accommodation.

Recommendations

Online Registration

Please keep in mind that the number of participants is limited. Therefore, the “First Come-First Served” principle will be applied.

Registration deadline: March 15, 2025
Those who register first will have priority to obtain a place in the spring school.

NFDI-MatWerk Spring School 2025

  • Max. file size: 2 MB.
    (Only PDF are accepted – Max. size: 2MB)
  • Max. file size: 2 MB.
    (Only PDF are accepted, max. 1 page – Max. size: 2MB) Indicate current situation for dealing with research data and expectations for the spring school.
  • Questionaire

    Now we would like to ask you to please answer these questions to tailor our courses to your current skills. Thank you!
  • Media Use Consent

    The EUSMAT office and the NFDI-MatWerk would like to use the material recorded during the Summer School as well as other events organized and supported by EUSMAT in its different official plattforms. This authorization grants permission to use images, videos and other types of media for marketing purposes. EUSMAT and its Partners undertake not to use any images in a way that would cause embarrassment or misrepresent the intent of the student’s participation. I understand that I will not be paid for giving this permission and I hereby waive any claim that I may have had for remuneration, residuals, royalties or any other payment in respect of use of the images or videos.

IMPORTANT!
The participation is free of charge.
The event will take place in English.
In case of further inquiries please contact: office@eusmat.net

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