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@INPROCEEDINGS{Huebl:1027877,
author = {Huebl, Axel and Lehe, Rémi and Vay, Jean-Luc and Grote,
David P. and Sbalzarini, Ivo F. and Kuschel, Stephan and
Bussmann, Michael},
title = {{O}pen {S}cience {W}ith {O}penpmd},
reportid = {FZJ-2024-04173},
year = {2017},
abstract = {Nobody needs yet an other data format for HPC. But why have
so-called self-describing data formats never provided
out-of-the-box cross application portability? Why are most
open-access datasets not self-describing for both the domain
scientist and after-use? And why do communities need to
implement their data readers in various post-processing,
visualization and analysis frameworks over and over again?
We present the open meta data format openPMD for data format
agnostic markup of particle-mesh data. Based on a minimal
kernel of meta information and enriched with domain-specific
extensions, we develop an open ecosystem of interoperable
simulations and data processing frameworks from the domains
of laser-plasma interaction, X-ray photon sciences,
astrophysics up to systems biology. This poster presents our
efforts to enable $\&$ establish workflows suitable to
frictionless transposition between those domains, using
highly scalable I/O methods (e.g. ADIOS BP or HDF5), a truly
self-describing data markup and peer reviewed
participation.},
keywords = {OpenData (Other) / OpenScience (Other) / openPMD (Other) /
OpenAccess (Other) / Schema (Other) / Meta-Data (Other) /
PIC (Other) / particle-mesh (Other)},
typ = {PUB:(DE-HGF)24},
doi = {10.5281/zenodo.822396},
url = {https://juser.fz-juelich.de/record/1027877},
}