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001     1019161
005     20231213202051.0
024 7 _ |a 10.5281/ZENODO.8431163
|2 doi
024 7 _ |a 10.34734/FZJ-2023-05207
|2 datacite_doi
037 _ _ |a FZJ-2023-05207
100 1 _ |a Wagner, Adina Svenja
|0 P:(DE-Juel1)178612
|b 0
|e Corresponding author
111 2 _ |a Cutting Gardens Frankfurt
|c Frankfurt am Main
|d 2023-10-16 - 2023-10-19
|w Germany
245 _ _ |a Manage your data with DataLad: From local version control to data publication
260 _ _ |c 2023
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a LECTURE_SPEECH
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336 7 _ |a Conference Presentation
|b conf
|m conf
|0 PUB:(DE-HGF)6
|s 1702454753_490
|2 PUB:(DE-HGF)
|x Invited
520 _ _ |a Workshop slides for a 2-hour DataLad workshop in Frankfurt at the CuttingGardens conference 2023. https://cuttinggardens2023.org/gardens/frankfurt/#LT_AW Workshop abstract: Manage your Data with DataLad: From local version control to data publication Many open source software tools assist with the complex task of data management. This workshop introduces one of them, the data management and data publication tool DataLad (https://www.datalad.org). If you have always wanted to get going with version control, are curious to find out how to use DataLad, or want to see simple workflows for data management routines, this workshop is for you. You will learn about core concepts of research data management and how to implement them – from local version control for all parts of your research to data publication. With a focus on technical and conceptual aspects alike, the workshop aims to equip you with skills you could transfer to real-world data, with a mix of theoretical input and interactive hands-on applications.   The workshop will provide a cloud-computing environment for interactive participation, but participants should bring their own computers in order to access it.
536 _ _ |a 5254 - Neuroscientific Data Analytics and AI (POF4-525)
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588 _ _ |a Dataset connected to DataCite
650 _ 7 |a datalad
|2 Other
650 _ 7 |a git
|2 Other
650 _ 7 |a data management
|2 Other
650 _ 7 |a data publication
|2 Other
650 _ 7 |a FAIR
|2 Other
773 _ _ |a 10.5281/ZENODO.8431163
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/1019161/files/DataLad4CuttingGardens.pdf
856 4 _ |y OpenAccess
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856 4 _ |y OpenAccess
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856 4 _ |y OpenAccess
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856 4 _ |y OpenAccess
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909 C O |o oai:juser.fz-juelich.de:1019161
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
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913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
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|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5254
|x 0
914 1 _ |y 2023
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
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920 1 _ |0 I:(DE-Juel1)INM-7-20090406
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980 _ _ |a conf
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 1 _ |a FullTexts

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