SFB1315_INF.06_dissemination/03_other/DMP_template.md

responsible people for data management

Please list here everyone who can access the data during the project (one person per line, please add role(s) for each person):

• Governor: Data governance (co-)lead (person legally responsible)
  
• Collector: data collectionr (on behalf of the responsible person(s))
  
• Analyst: use of the data, analysis, processing (on behalf of the responsible person(s))
  

• Steward XX: consultation and help with access to the data

  Example:  
  - Julien Colomb, Steward  
  ```` 
     
  # data flow : list of questions (for each type of experiment):  
     
  ## exp1: TITLE  
  ### Data information 
  - file naming and organisation conventions,   
  - type of version control 
  - raw data formats,   
  - data analysis software    
  - results format,   
  - data sharing format,   
  - data archive format,   
  - metadata content, format and schema,  
  - specific keywords,   
  - vocabularies, taxonomies and ontologies used,  
  - repositories used for publication  
  ### Experimental design information 
   
  Experimentator blinding, and randomisation strategy: 
  Animal information sheet: 
  Study design  (groups, sample type,  sample size and rational for these decisions) 
  Inclusion and exclusion criteria 
   
  

Example:

Drosophila learning/memory experiments

File naming convention:

YYYY-MM-DD_ShortNameExperiment

vestion control:

• no version suffix, version control via GIT in GIN (small text files only)
  

Details:

• We produce one spreadsheet for each experiment, following a template (link to template)

• One folder named YYYY-MM-DD_ShortName_Experiment (data of start of experiment) contains:

  • one readme.md file for text notation and explanations
  • one metadata spreadsheet, indicating genotype and treatment code, age of flies at experiment
  • The data spreadsheet, in a .tsv format
  • It may also contain a result figure.
    

• Data will be published in this form (.tsv and .md files) at publication, on GIN.

• Data analysis is done via R scripts present in the analysis folder, figures are saved (named using the same convention) in the figure folder as .pdf files.

Taxonomies used:

• fly lines using flybase code
• fly genes as keywords using flybase code ```
  # other data types
  
  ## Reagents:
  - Versioning
  - Publication
  - PID
  - dissemination/repository
  - licensing
  
  ## Software and code:
  - Versioning
  - Publication
  - PID
  - dissemination/repository
  - licensing
  
  - tests
  - containerization
  
  ## Hardware documentation:
  - Versioning
  - Publication
  - PID
  - dissemination/repository
  - licensing
  ## Dataset research results and project management documentation (ELN)
  - Versioning
  - Publication
  - PID
  - dissemination/repository
  - licensing
  
  # Ressources (viruses, transgenics, ...)
  
  
  
  ## data archive: where