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@ARTICLE{Boltes:1026443,
author = {Boltes, Maik and Kandler, Alica},
title = {{B}e {FAIR} to {P}edestrian {D}ynamics {D}ata},
journal = {Collective dynamics},
volume = {9},
issn = {2366-8539},
address = {Jülich},
publisher = {Forschungszentrum Jülich},
reportid = {FZJ-2024-03396},
pages = {1 - 8},
year = {2024},
abstract = {For improving the safety of people in large crowds, it is
of great importance to understand the basic mechanisms of
pedestrian dynamics, e.g. with help of experiments. The
number of openly shared datasets of these experiments has
increased in the last years also due to stricter
requirements from journals and funders. We share our own
experimental data by an open access data archive which data
is widely used in the community.However, our data and also
data of other researchers in the field of pedestrian
dynamics is not annotated in a systematic or semantically
harmonized way, which impairs FAIRness in general and
interoperability specifically. In this paper, we propose a
standardized extensible metadata schema and key data
structures for trajectories and geometry. The proposed
metadata schema and data structures hopefully support the
interoperability within the community and will assist to
make data reutilization more efficient.Our own legacy
datasets are continuously annotated with essential
information using this metadata schema steadily. This
metadata is provided beside the converted data on our data
archive and thus enhance its findability and reusability.},
cin = {IAS-7},
ddc = {380},
cid = {I:(DE-Juel1)IAS-7-20180321},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511)},
pid = {G:(DE-HGF)POF4-5111},
typ = {PUB:(DE-HGF)16},
doi = {10.17815/CD.2024.163},
url = {https://juser.fz-juelich.de/record/1026443},
}