NFDI4Ing CC42 Community Meeting 2024 - NFDI4Ing

NFDI4Ing CC42 Community Meeting 2024 (online)

Everything at a Glance
When?   October 16, 2024,
between 10 a.m. and 13 p.m.

Where?   Online (Free registration ↗)

Who?   Everyone interested in RDM within and beyond NFDI4Ing, especially engineers from the fields of thermal and process engineering

What?   Topics and use cases regarding how RDM can benefit thermal and process engineering and questions from the NFDI4Ing

Costs   Registration and participation in the conference are free of charge
News: The review phase has ended!
Thank you...
... to all the contributors and experts who have reviewed abstracts.
The review phase could be brought to a conclusion by your help. Notifications to the choosen contributors will be send until the end of september.

Most abstracts can be found at the abstracts page ↗ as a sneak preview of what you may expect at the conference.

Thank you too!
To all those who have handed in abstracts in the first place!
Community Meeting Aims
The aim of the community meeting is to advance and unify research data management and to foster exchange between the NFDI4Ing and its community. We will discuss solutions from both sides, open issues and future challenges on topics such as terminologies, metadata, linking of models, attributes and many more. Likewise, opportunities for networking and exchange with the research community will be provided. Everyone is invited to participate!
CC42: What is this Community Cluster?
Community Cluster 42 (CC42) is the community for Thermal and Process Engineering within the National Research Data Infrastructure for Engineering (NFDI4Ing). It aims to promote the good practice of research data management (RDM) in these fields and to connect researchers and practitioners in the community. CC42 organizes regular community meetings, workshops, and other events to provide opportunities for networking, exchange of ideas, and learning about new RDM tools and technologies.
Who are Alex and Doris?
Hello, I’m Alex. I conduct bespoke, one-of-a-kind experiments in custom-tailored hardware or software related to technical systems that range from nano and microscale, e.g., investigation of wall slip or cloud cavitation) to macroscale, e.g., algorithmic planning of fluid system. For more info on Alex, click here ↗ .
Hello, I’m Doris, an engineer conducting and post-processing high-resolution and highperformance measurements and simulations on High-Performance Computing systems (HPC). For more info on Doris, click here ↗ .
My name is not Alex or Doris. May I still participate?
Bis hier
FAIR engineering science:
applying principles to practice
RDM tools and services:
usability and automation
Open science: impact and
visibility of engineering insights
Data literacy in
engineering education
Hands on RDM:
A full two day programme of workshops and demonstrations additionally to the presentations!
Yes, of course! Whether researchers, teachers or industry representatives - all those interested in (research) data management are welcome. Through presentations of research results, informative workshops and tutorials, as well as case studies, we would like to discuss how data management can be implemented in engineering theory and practice.
Conference Proceedings: ing.grid's special issue
To make the contributions accessible to a broader audience, the contributors will have the chance to hand in additional papers, that will be peer-reviewed within ing.grid ↗ and later be published within the conference special issue of ing.grid.
ing.grid is firmly rooted in the engineering sciences and is committed to the principles of Open Data, Open Access and Open Review. It welcomes contributions from all engineering subject areas. Moreover, the journal recognizes connections and common practices across all subdisciplines of the engineering community and encourages active exchange of experiences.

The open peer review policy of ing.grid offers collaboration with the reviewing not only reserved for the assigned referees: The community can also take part in the discussion before the publishing of the article. After the article is accepted, the review discussion comments are made available and marked with a DOI to ensure transparency of the review process.

The journal aims to share the results of scientific work conducted with society. To publish at ing.grid, authors should choose a CC-BY licence for their work. This licence allows the journal and its publications to hold on to the principles of open science.
NFDI4Ing community survey
NFDI4Ing is running a community survey ↗ on the state of research data management (RDM) in the engineering sciences. Your participation would be greatly appreciated. The survey can be found at https://nfdi4ing.de/survey↗

One of the goals of the survey is to tailor the consortium’s services precisely to the needs of engineers. To obtain a detailed picture of the state of RDM in the individual engineering disciplines, we hope for numerous participants from all fields of engineering.
Preliminary Agenda
The NFDI4Ing CC42 Community Meeting 2024 comes along with the following program:
Wednesday, October 16, 2024
All times in CEST

09:45 – 10:00

🎫 Arrival and virtual Check-In

10:00 – 10:10

Opening & Introduction of Archetype Alex

Prof. Peter F. Pelz, TU Darmstadt

10:10 – 10:25

FAIR RDM on the real test rig

Pascal Moor, TU Darmstadt

for more details

RDM plays a central role in a rigorous scientific working approach. Therefore, FST has been dealing with linking everyday tasks in practical test bench work with the FAIR principles for some time. In this context, we would like to share current findings and procedures.

10:25 – 10:40

Praktikum Digitalisierung

Longwei Cong, TU Darmstadt

for more details

In the winter semester 2023/24, the module “Praktikum Digitalisierung” in the Bachelor's program of Mechanical Engineering - Sustainable Engineering has moved into live operation with over 300 students after a test phase. We would like to present the initial experiences with the module and the further development work, specifically the Knowledge Graph for the Praktikum Digitalisierung.

10:40 – 10:55

How Much RDM is Enough RDM? Reflections from an Ongoing Optimization Study

Michaela Leštáková, TU Darmstadt

for more details

There has been a noticeable paradigm shift towards RDM in the engineering sciences. However, an early career researcher can easily get lost in the multitude of approaches towards RDM, especially in fields where research methods vary greatly. An active researcher myself, I would like to reflect on how to approach the frequent question of „how much RDM is enough RDM”. I will use an illustrative example from an optimization study of a water distribution network as a basis for the discussion.

10:55 – 11:10

Big data in the lab - challenges and solutions in real-life applications

Dr. Steven Wagner, TU Darmstadt

for more details

Data volumes amounting to terabytes per day regularly push not only the infrastructure but also the users and their RDM procedures to their limits. Here, we present the infrastructural measures implemented at RSM, which successfully ensure sustainable storage and management of data. Additionally, an RDM procedure has been implemented that focuses on the acceptance of researchers while also guaranteeing high data security.

11:10 – 11:25

Systematic collection of metadata - a use case

Johannes Mich, TU Darmstadt

for more details

The use case involves combined experimental-numerical studies of the oxidation of iron particles. The comparison of experimental data with simulation results and their analysis requires extensive parameter variations and, among other things, consistent processing of metadata. In the presentation, a Python-based tool will be introduced, which relies on the Dublin Core vocabulary and systematically captures metadata in parallel with data analysis, making it readable for both humans and machines.

11:25 – 11:45

☕ Short Break

11:45 – 11:55

Introduction of Archetype Doris

Prof. Christian Stemmer, TUM

11:55 – 12:20

MARGE – the Multi-Access Research Gateway for HPC Experts

Yu Jiao, TUM

for more details

HPC data are often used for a single application or publication and then archived in personal accounts at the corresponding computing centre. There is a lack of opportunities to make existing HPC data available to other researchers in compliance with the FAIR principles. Therefore, NFDI4Ing has created a platform that effectively operationalizes the accessibility and reusability of large HPC data. MARGE enables direct access to vast and immobile datasets through the cloud, facilitating their reuse. We cordially invite all engineers, who produce large data sets on (LRZ) HPC systems and want to share them with external researchers, to get to know the functionality and features or the MARGE service.

12:20 – 12:45

HPMC Metadata: Ontology-based Metadata Extraction and Re-use

Benjamin Farnbacher and Yu Jiao, TUM

for more details

The NFDI4Ing consortium has developed the ontology Metadata4Ing for a process-based description of research activities and their results as a common classification of engineering data in a taxonomic hierarchy with standardized vocabulary and procedures. In order to establish a consistent terminology for CFD workflows in high-performance computing (HPC) systems, a community based HPC-sub-ontology is being developed and improved within the framework of Metadata4Ing. An improved version of HOMER (the metadata crawler developed at TUM, https://gitlab.lrz.de/nfdi4ing/crawler/), will be introduced to read out the Metadata4Ing ontology together with the HPMC sub-ontology and retrieve metadata from CFD studies. In addition, a corresponding (simplified) metadata profile for CFD simulations has been set up in the research data management platform Coscine; its use will be explained during the presentation.

12:45 – 13:00

Outlook and farewell

Prof. Christian Stemmer, TUM

Thursday, October 27, 2022
All times in CET

08:45 – 09:00

🎫 Arrival and virtual Check-In

09:00 – 09:15

Welcome and programme overview

Tobias Hamann and Mario Moser
(Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen, Germany)

09:15 – 09:45 Uhr

Keynote: "Data Management: Global challenges, Global Collaborations"

Hilary Hanahoe
(Secretary General Research Data Alliance, Pisa, Italy)

09:45 – 10:15


09:45 - 10:15 ID: 813  

» ing.grid – FAIR Publishing with Open Review ↗

Kevin Logan
(Chair of Fluid Systems, TU Darmstadt, Darmstadt, Germany)

10:15 – 10:30

Short Break

10:30 – 12:00


Research Software

10:30 - 11:00 ID: 835  

» An approach to improve the reuse of research software ↗

Patrick Kuckertz
(IEK-3, Forschungszentrum Jülich, Jülich, Germany)


11:00 - 11:30 ID: 812  

» Towards Improved Findability of Energy Research Software by Developing a Metadata-based Registry ↗

Stephan Ferenz
(University of Oldenburg – Department of Computer Science, Oldenburg, Germany)

Nominee for:
NFDI4Ing Award 2022 for the best RDM Solution

11:30 - 12:00 ID: 799  

» “Continuous” Integration of Scientific Software (in Computational Science and Engineering) ↗

Moritz Schwarzmeier
(TU Darmstadt, Darmstadt, Germany)


FAIR Research

10:30 - 11:00 ID: 849  

» Documentation for FAIR Modelling ↗

Sibylle Hermann
(Institute of Engineering and Computational Mechanics, University of Stuttgart, Stuttgart, Germany)


11:00 - 11:30 ID: 838  

» Maturity Models for RDM Processes – Data Access ↗

Max Leo Wawer
(Institute of Product Development - Leibniz University Hannover, Hannover, Germany)


11:30 - 12:00 ID: 818  

» FAIR-IMPACT: Expanding FAIR Solutions across the European Open Science Cloud ↗

Joy Davidson
(Digital Curation Centre (DCC), University of Edinburgh, Edinburgh, United Kingdom)


10:30 - 12:00 ID: 789  

» Wikidata beginners’ workshop ↗

Évariste Demandt
(IT Center, RWTH Aachen University, Aachen, Germany)

12:00 – 13:00

🍝 Lunch Break

13:00 – 13:30 Uhr

Keynote: "Data literacy - prerequisite for FAIR data supply and usage"

Prof. Dr.-Ing. Peter F. Pelz
(Chair of Fluid Systems, TU Darmstadt, Darmstadt, Germany)

13:30 – 14:30


Collaborative Metadata

13:30 - 14:30 ID: 844  

» Collaborative Metadata Definition using Controlled Vocabularies, and Ontologies - FAIR Data Showcase in Experimental Tribology ↗

Nick Garabedian
(IAM, Karlsruhe Institute of Technology, Karlsruhe, Germany)


Supporting Software

13:30 - 14:00 ID: 801  

» How GitOps solves Experiment Configuration Documentation ↗

Moritz Kröger
(LLT, RWTH Aachen University, Aachen, Germany)


14:00 - 14:30 ID: 824  

» Agile RDM with Open Source Software: CaosDB ↗

Timm Fitschen
(IndiScale GmbH, Göttingen, Germany)


13:30 - 14:30 ID: 826  

» RSpace: An Electronic Lab Noteook designed to enhance FAIR workflows and FAIRification of research data ↗

Rory Macneil
(Research Space, Edinburgh, Scotland, United Kingdom)

Nominee for:
NFDI4Ing Award 2022 for the best RDM Solution
NFDI4Ing Award 2022 for the best Conference Contribution

14:30 – 15:00

☕ Coffee break and networking session

15:00 – 16:00


Interoperable Metadata

15:00 - 15:30 ID: 816  

» Automatic Extraction of Descriptive Metadata to Promote the Usage of RDM Tools ↗

Benedikt Heinrichs
(IT Center, RWTH Aachen University, Aachen, Germany)


15:30 - 16:00 ID: 800  

» A-Match: Facilitating Data Exchange Between Different Applications via API Matching ↗

Sarah Böning
(German Aerospace Center (DLR) Institute of Data Science, Germany)

Nominee for:
NFDI4Ing Award 2022 for the best Conference Contribution
 

How to be FAIR

15:00 - 15:30 ID: 842  

» Making Research Data Findable - B2FIND ↗

Claudia Martens, Anna-Lena Flügel
(German Climate Computing Center (DKRZ) / B2FIND, Hamburg, Germany)


15:30 - 16:00 ID: 846  

» SaxFDM – towards a comprehensive research data management support net-work for Saxony ↗

Linus Hartmann-Enke
(SaxFDM, Universität Leipzig, Leipzig, Germany)


15:00 - 16:00 ID: 857  

» A No-Nonsense Guide to Higher Code Quality for Researchers
- feat. Unit Testing ↗


Michaela Leštáková, Daniele Inturri
(Chair of Fluid Systems, TU Darmstadt, Darmstadt, Germany)

16:00 – 16:30

Keynote: "Building LIMS in FAIR Research Data communities"

Gretchen Greene
(Office of Data and Informatics, Data Science Group Lead, National Institute of Standards and Technology, Gaithersburg, USA)

16:30 – 16:45

Awards

Prof. Dr.-Ing. Robert Schmitt, Tobias Hamann and Mario Moser
(Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen, Germany)

16:45 – 17:00

Outlook and farewell

Tobias Hamann and Mario Moser
(Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen, Germany)

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