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2019-08-08-matthewmeeting.md 2.7 KB

Meeting outputs

main decisions

  • force19, ok
  • continue discussion with other SFB, info dissemination project is our to lead
  • Get a meeting with Thomas. We do not care who develop it but we need something going to start testing.
  • Continue to work on mice metadata (some files will be sent by matthew soonish)

strategy

Main objective is information dissemination, the development of the tool should keep this in mind.

  • Get MVP with commenting
  • Analyse comment to find gaps
  • modify tool to push people to fill the gaps (empty box, badges,...)

software

  • need simplified workflow, only one tab ?

visualisation

  • need search filter function
  • interaction with author should be straightforward
  • maybe need to link to something they already know, as a reminder of what we are talking about.

My role

  • ASAP stop developing, but foster tool use
  • social component

#Vorbereitung

1. Collaborations

  • Thomas wants to clarify goals and work together (why we do OUR software)
  • possible interaction with other SFB: contact with sfb1158 in heidelberg (see below: metadata standards)

  • proposition *

    • Two software is good: interoperability of what is created is easier to demonstrate, our will not be scalable but will be easier to set up.
    • Need to think about a decentralised system, i.e. look into https://linkedresearch.org community ?
    • Need to work on the smartfigure xml standard: this needs more engagement and an open developemnt, sourcedata should lead that in collaboration with elife/texture people.

2. Shiny Software

  • dropbox version
  • server version with ITB server

Visualisation and data upload in a 2 tab browsable software

3. Visualisation

  • highlighted versus normal entries work
  • google-like visualisation has limitations
  • NEED visualisation of protocols ?
  • long term: browsability of results

** Outside of my area of expertise **

4. Standards

  • Smartfigure: zip +xml
  • metadata: minimal standards:
    • animal (species, genotype, date_of_birth, light modus, diet) - similar to/extended from pyrat ?
    • experiment (date, time, temperature, light modus)
  • https://www.nwb.org/ standard for data (python, matlab export, called hdf5)

5. RDM work

  • talk with Robert, work with keisuke:
    • data of paper to be organised, pushed to GIN
    • structure worked, file naming comes next.
    • time to perform the work will be reported : paper to follow when 3-4 case studies are there.
    • next steps will be to share the analysis code.
  • next will talk with christian for imaging data, using same approach.

6. survey and server

  • 14 labs responded
  • estimation gots from 5 to 200 TB (whole lab data)
  • need to talk to itb people about it.