Presentation

Magdeburg about to write a grant. What topic to talk about in the afternoon.

Thomas Wachtler: NFDI-neuro

(LMU): usual presentation. Q: what about BRAIN initiative'?

Michael Denker: reproducible analysis of neuroal activities

tools for electrophysiology and modelling.

scenario data reuse

jack wants the data and the code and be able to reproduce the analysis, make new ones and use the same analysis on a different dataset. -> repeatability -> replicability (new team) -> reproducibility (new experiment setup)

odML, Neo

Making collaboration possible. metadata standard, computer readable neo: abstraction from raw data

Rescience journal

standardised description of specific implementations: elephant library

high potential, but still quite scary to me.

how to implement these tools in the lab?

having someone using the tool
get ERC/phd students to learn (by doing)

how to write it up ?

1. incentives for the data producer

- Who is doing what with my data
- Did someone attempted to use the data ?

Is there a way to implement such a collaboration.

Data curationb after the fact is difficult.

2. Costs (time to invest) to choose/learn the tools

MRI data (Michael Hanke)

http://datalad.org

imaging data is personal data
data is too big
no metadata standards

challenges

not open, but FAIR
reusability and interoperability is way to costly
no incentives to make data accessible

what data is important

there is some investment, where to put the ressources
answer depends on who you ask (researcher, data steward, tech, librarian,...)

datalad

workflow for data input to output archiving.
capable of making transition to new standards.

handbook.datalad.org

sharing analysis, not data

if we get the data in a standard format, we could actually do that.

today tool disappear: sould become a inconvenience, nothing more

self contained

#Thorsten TRR135 and nowa

what we do

DMP and evaluation of workflows
software for workflow assistance
training

Tools

RDM planning tool (RDMO), heesen box (seafile) Gitlab with quality checks Research data repository (Dspace)

Challenges: variability

location
organizational structures
research methods
data volume
standards usage and awareness (and existence)

Rene Bernard, neurocure

6 institutions -Berlin based, 45% is Charité 25 PIs, clinical and basic research 2 partner institution (BIH, DIFE-potsdam)

value and open science module

Success and enabler

ELN (600 active users now)
reward open data
QUEST toolbox
Qumula scalable data storage (2020) - linked to ELN

...

Ideas

get one responsible person in the lab - someone easier to access.
go iterative, small steps first.
good practive example

NFDI

linking tools
sharing platform
RDMP = blablabla
knowledge repository
financial ressources
DFG will not tell it loud, but SFB funding depends on data management.
more focussed discussion
see the appliaction as objective:
Get things done, have outputs (strengthen the application)
dialog with field and sfb, update guidelines for DFG application
more collaboration : entire field exploiting the existing ressources.
working group implementations

Tools:

tutorial based infromation (in context)

openbrainconsent workflow: collect, check what works, make one file that works

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