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Das Rad neu erfinden? Ein Zusammenspiel verschiedener Werkzeuge im
Forschungsdatenmanagement eines neurowissenschaftlichen Sonderforschungsbereichs
2. Aktionstag Forschungsdaten des Kompetenzteams Forschungsdaten an der Johannes Gutenberg-Universität Mainz
Dr. Thorsten Arendt, 1. Juli 2019
SFB 135: Cardinal mechanisms of perception
Prediction Categorization
fMRIVR/Motion tracking EEGEye tracking
Mechanis
ms
Meth
ods
20 projects 24 PIs 31 scientists >50 TB of data
Valuation
01/07/2019 2
NOWA: NeurOscientific Workflow Assistance
Data management
plans and evaluation of
workflows
Software toolset for workflow
assistance
Training in research data management
01/07/2019 3
What SFB Neuroscientists need …
Meta data
Data
Software
Quality assurance
• Management of meta data
• Testing of software
• Integrity of data
Versioning
• Automatic lab book
• Reproducibility
Research organization
• Sharing research
data
within and beyond
SFB
• Collaborative writing
of papers
Publication
• Semi-automatic bundling of research data
• Export to external data repositories01/07/2019 4
Designing and
setting-up
experiments
Collecting
data
Analyzing
data
Publishing data
in journals or
data
repositories
Best Practice in Software Engineering –Groupware and Version Control Systems
01/07/2019 5
Ch
all
en
ges
Ch
all
en
ges
Best P
ractic
eB
est P
ractic
e
Groupware & Collaboration Platforms
Version Control SystemsConfiguration Management
Managing depen-dencies
Storing versions
Restoring previous versions
Understan-ding what happened
Collaborative & Distributed Work
NOWA combines initiatives and tools
01/07/2019 6
Kontakt
01/07/2019 7
Die vorliegende Arbeit wurde gefördert durch die Deutsche Forschungsgemeinschaft
(DFG), Projekt Nr. 222641018, SFB/TRR 135, TP INF.
Dr. Thorsten Arendt
Philipps-Universität Marburg
FB Psychologie Hochschulrechenzentrum
AG Allgemeine und Biologische Psychologie AG Informationssysteme
Gutenbergstr. 18 Hans-Meerwein-Straße 6
35032 Marburg 35032 Marburg
