TY  - CONF
AU  - Szczepanik, Michał
TI  - Lightweight data publishing on Jülich Data with DataLad
M1  - FZJ-2023-05331
PY  - 2023
AB  - 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.
T2  - INM Retreat 2023
CY  - 17 Oct 2023 - 18 Oct 2023, Jülich (Germany)
Y2  - 17 Oct 2023 - 18 Oct 2023
M2  - Jülich, Germany
LB  - PUB:(DE-HGF)31
DO  - DOI:10.5281/ZENODO.10010615
UR  - https://juser.fz-juelich.de/record/1019361
ER  -