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TAM DataHub User Manual

dc.contributor.authorLenze, Stefan
dc.contributor.authorPfarr, Julia-Katharina
dc.contributor.otherBerger, Christian
dc.contributor.otherPietsch Andre
dc.contributor.otherBrand, Ortrun
dc.contributor.otherEndres, Dominik
dc.date.accessioned2024-08-14T09:13:18Z
dc.date.submitted2024-08-14
dc.descriptionIntroduction to the common research infrastructure and workflows of the cluster initiative The Adaptive Mind.
dc.description.abstractThe DataHub is an infrastructure project of the "The Adaptive Mind" (TAM) cluster initiative in which research groups in the field of psychology and neuroscience, based at multiple hessian universities work together. Guided by the "FAIR" principles, the DataHub offers resources, services and support to affiliated researches on various levels to ease collaborative work: Central storage and compute resources, services like JupyterHub, TAM GitLab and the TAM DataHub Repository, which allow efficient usage of these resources, and support on how to use the services in a way that fits the needs of the individual project. In this manual, you will find an overview on the DataHub, introductions to individual resources and services and workflows to help you using the DataHub.
dc.description.sponsorshipThis work was supported by “The Adaptive Mind”, funded by the Excellence Program of the Hessian Ministry of Higher Education, Research, Science and the Arts, and supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—project number 222641018 - SFB/TRR135 Project INF.
dc.description.version1.1
dc.identifier.urihttps://tam-datahub.online.uni-marburg.de/handle/tam/26
dc.identifier.urihttps://doi.org/10.60834/tam-datahub-4
dc.language.isoen
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.subjectResearch Data Management
dc.titleTAM DataHub User Manual
dc.typeReport
dspace.entity.typePublication
local.tam.contactPersondatahub@uni-marburg.de
relation.isAuthorOfPublication906a8796-0a58-460a-91ad-1b2be0c32b34
relation.isAuthorOfPublication.latestForDiscovery906a8796-0a58-460a-91ad-1b2be0c32b34

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