Talk (non-conference) (Other)

FZJ-2023-05331

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Lightweight data publishing on Jülich Data with DataLad

Szczepanik, M. (Corresponding author)FZJ*

2023

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Please use a persistent id in citations: doi:10.5281/ZENODO.10010615  doi:10.34734/FZJ-2023-05331

Abstract: Jülich DATA is the central institutional repository for research data of the Research Center Jülich and supports sharing, preserving, citing, exploring, and analyzing research data with descriptive metadata, without hosting large files. In this tutorial, participants will discover how DataLad can integrate with Dataverse and have the best of both worlds: Discoverability and metadata with Jülich DATA, and actionable data tracking with DataLad. With conceptual and hands-on elements, we will learn how to publish or clone lightweight DataLad datasets to and from Jülich DATA.

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Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 5254 - Neuroscientific Data Analytics and AI (POF4-525) (POF4-525)
2. SFB 1451 INF - Datenmanagement für computergestützte Modellierung (INF) (458705875) (458705875)

Appears in the scientific report 2023

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Database coverage:

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