NFDI-MatWerk Summer School 2024 in Bremen – 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 Summer School will take place:

📅 From Tuesday, September 10th to Thursday, September 12th, 2024

📍 At at Leibniz-IWT, Building LION, Bremen

Contents of the summer school
  • Introduction to programming language Python
  • General introduction to Research Data Management (RDM) and FAIR data
  • Designing of a Research Data Management Plan (DMP) for the own PhD
  • Introduction to Electronic Lab Notebooks (ELN) with demonstrations
  • Fundamentals of Scientific Metadata
  • Ontology based RDM
  • Digitalization: Cultural Change and Change Management
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.

Program

Tuesday, September 10th

9:00 – 11:30    Introduction to programming language Python

11:30 – 12:30  Lunch break (Mensa)

12:30 – 14:30  General Introduction to Research Data Mangement (RDM) and FAIR data – Katharina Grünwald

15:00 – 17:00  Designing of Research Data Management Plan (DMP) for the own PhD – Katharina Grünwald

Wednesday, September 11th

9:00 – 11:30    Introduction to Electronic Laboratory Notebooks (ELN) with demonstrations – Norbert Riefler

11:30 – 12:30  Lunch break (Mensa)

12:30 – 17:00  Fundamentals of Scientific Metadata – Rosella Aversa

Thursday, September 12th

9:00 – 11:30    Ontology based RDM – Keno Krieger, Norbert Riefler

11:30 – 12:30  Lunch break (Mensa)

13:00 – 17:00 Digitalization: Cultural Change and Change Mangement – Norbert Riefler

Referents and organizers
  • Norbert Riefler – Leibniz-IWT Bremen (riefler@iwt.uni-bremen.de)
  • Katharina Grünwald – RWTH Aachen (gruenwald@itc.rwth-aachen.de)
  • Rosella Aversa – Karlsruhe Institute of Technology (rossella.aversa@kit.edu)
  • Keno Krieger – Universität Bremen (kriegerk@uni-bremen.de)

Organisation:

  • Flavio Soldera (f.soldera@matsci.uni-sb.de), Christoph Pauly (c.pauly@mx.uni-saarland.de), Pranav Nayak (pranav.nayak@uni-saarland.de) – Universität des Saarlandes
  • Norbet Riefler (riefler@iwt.uni-bremen.de) – Leibniz-IWT Bremen
Venues

Leibniz-IWT Bremen, Building LION

Online: some lectures will be recorded.

zoom (https://uni-bremen.zoom-x.de/j/66961912078?pwd=JRD48pIi49xDsn2RqvEv5XeU3fCAXv.1)
-> Recording of lectures for further use

Expected Learning Outcomes

Introduction to programming language Python

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

General Introduction to Research Data Management (RDM) and FAIR data

  • 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)

Designing of Research Data Management Plan (DMP) for the own PhD

  • 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

Introduction to Electronic Laboratory Notebooks (ELN) with demonstrations

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

Fundamentals of Scientific Metadata

  • Understand differences between and importance of data and metadata
  • Annotate research data with structured metadata
  • Find and evaluate suitable metadata frameworks
  • Use basic Markdown / JSON / XML
  • Apply suitable tools for metadata annotation
  • Understand importance of structured metadata and its benefits for overall scientific visibility
  • Get to know the basic concepts of PIDs, linked data and the semantic web

Ontology based RDM

  • Principles of Semantic Web (triples, RDF, OWL)
  • How to creat an ontology (Protégé)

Digitalization: Cultural Change and Change Mangement

  • Digital culture (OpenScience)
  • Issues with a “change” in organizations
  • Psychological reasons for resistance
Online Application

Application to NFDI-MatWerk Summer School 2024

  • 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 summer school.

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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