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  A Machine-actionable Workflow for the Publication of Climate Impact Research Data from the ISIMIP Project

Klar, J., Mengel, M. (2023): A Machine-actionable Workflow for the Publication of Climate Impact Research Data from the ISIMIP Project. - In: Heuveline, V., Bisheh, N., Kling, P. (Eds.), E-Science-Tage 2023: Empower Your Research – Preserve Your Data, Heidelberg : heiBOOKS, 201-207.
https://doi.org/10.11588/heibooks.1288.c18077

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_29024 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_29024_5
Genre: Book Chapter

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 Creators:
Klar, Jochen1, Author                 
Mengel, Matthias1, Author                 
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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 Abstract: The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) aims to provide a
quantitative and cross-sectoral synthesis of the different impacts of climate change. To
this end, a simulation protocol defines a set of common experiments that are valid across
sectors. Modelling groups around the world run their simulations following this protocol
using climate and socio-economic forcing data provided by ISIMIP. The impact model
output data is collected by the ISIMIP team at PIK and made publicly available via the
ISIMIP repository. In total, more than 100 TB of up-to-date climate impact simulations
are freely available. The data is broadly used by the international scientific community,
but also by economic and civil society actors.
The workflow of data submission and publication was considerably improved by the the
introduction of a machine-actionable protocol and the development of several interlinked
software tools for data maintenance, quality control and data publication. While the
specific implementation is tailored to ISIMIP, the general ideas should be transferable to
other projects.

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Language(s): eng - English
 Dates: 2023-11-302023-11-30
 Publication Status: Finally published
 Pages: 7
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: PIKDOMAIN: RD3 - Transformation Pathways
Organisational keyword: RD3 - Transformation Pathways
Regional keyword: Europe
Working Group: Data-based analysis of climate decisions
Model / method: Open Source Software
MDB-ID: No data to archive
OATYPE: Gold Open Access
DOI: 10.11588/heibooks.1288.c18077
 Degree: -

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Title: E-Science-Tage 2023: Empower Your Research – Preserve Your Data
Source Genre: Book
 Creator(s):
Heuveline, Vincent1, Editor
Bisheh, Nina1, Editor
Kling, Philipp1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Heidelberg : heiBOOKS
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 201 - 207 Identifier: DOI: 10.11588/heibooks.1288
ISBN: 978-3-948083-90-8