Publishing Large Datasets: Experiences with Data Scaling and Hybrid Model Publication

The publication of large datasets poses significant challenges for research data management, particularly regarding storage, access, citability, and adherence to FAIR principles. We present our experience publishing a 25 TB dataset from the Infrared Atmospheric Sounding Interferometer (IASI) covering October 2014 to June 2019 (MUSICA IASI v3.2.1) using a hybrid approach. A representative one-day subset was deposited in the institutional repository RADAR4KIT with a DOI, while the complete dataset is archived at the Large Scale Data Facility (LSDF) provided by the Scientific Computing Center (SCC) at KIT and accessed via a THREDDS Data Server (TDS) hosted by IMKASF at KIT. We describe the workflow, metadata harmonisation, persistent linking strategy, and lessons learned from this publication process.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-04
DOI
https://doi.org/10.5281/zenodo.17815953
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Publishing Large Datasets: Experiences with Data Scaling and Hybrid Model Publication

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Publishing Large Datasets: Experiences with Data Scaling and Hybrid Model Publication

article en

Abstract

The publication of large datasets poses significant challenges for research data management, particularly regarding storage, access, citability, and adherence to FAIR principles. We present our experience publishing a 25 TB dataset from the Infrared Atmospheric Sounding Interferometer (IASI) covering October 2014 to June 2019 (MUSICA IASI v3.2.1) using a hybrid approach. A representative one-day subset was deposited in the institutional repository RADAR4KIT with a DOI, while the complete dataset is archived at the Large Scale Data Facility (LSDF) provided by the Scientific Computing Center (SCC) at KIT and accessed via a THREDDS Data Server (TDS) hosted by IMKASF at KIT. We describe the workflow, metadata harmonisation, persistent linking strategy, and lessons learned from this publication process.

Zenodo (CERN European Organization for Nuclear Research)
Karlsruhe Institute of Technology (DE), FIZ Karlsruhe – Leibniz Institute for Information Infrastructure (DE)
Partnerships for the goals
Openalex Percentile: Top 29%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.