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@INPROCEEDINGS{Langer:1048699,
author = {Langer, Raymond and Fröde, Fabian and Cafiero, Marianna
and Pitsch, Heinz},
title = {{E}xperience report: {D}eveloping and implementing a
research datamanagement strategy and policy at the
{I}nstitute for {C}ombustion {T}echnology},
reportid = {FZJ-2025-04821},
year = {2025},
note = {This work is funded by the Deutsche Forschungsgemeinschaft
(DFG, German Research Foundation) under Germany’s
Excellence Strategy – Cluster of Excellence 2186 “The
Fuel Science Center” – ID: 390919832.},
abstract = {From FAIR principles to practice, we present an experience
report on designing and implementing an institute-wide
research data management strategy and policy at the
Institute for Combustion Technology, RWTH Aachen University.
With about 25 PhD students and postdocs across simulations,
experiments, and modeling, we initially lacked a unified
process amid the use of diverse tools and various individual
solutions. The decision to create an institute-wide policy
emerged as we moved to use the Collaborative Scientific
Integration Environment (Coscine) for the management and
storage of research data and to integrate it with existing
processes and IT infrastructure, which raised complex data
management questions. The policy provides clear governance
through three pillars: project-level data management plans
in the Research Data Management Organiser (RDMO), git-based
management of software and other text-based assets in the
RWTH GitLab, and storage, referencing, and documentation of
all research data in Coscine. It grew from broad discussions
on processes, infrastructure, and domain knowledge. A small
team of group leaders, data stewards, and experienced PhD
students prepared the draft and refined it with feedback
from about 25 researchers. We share lessons learned:
establishing institute-wide standards is time-consuming, but
it enables sharing proven practices, clarifies and improves
processes, and ensures long-term findability and
accessibility. The strategy is available at
https://doi.org/10.5281/zenodo.17748591},
month = {Nov},
date = {2025-11-18},
organization = {Tag der Forschungsdaten in NRW 2025,
RWTH Aachen (Germany), 18 Nov 2025 - 18
Nov 2025},
typ = {PUB:(DE-HGF)31},
doi = {10.34734/FZJ-2025-04821},
url = {https://juser.fz-juelich.de/record/1048699},
}