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 
  
  Experimental design:
  
  - randomisation following table:
  - experiment done blind to genotype (code decripted at the end of the experiment/day)
  - n=15-18 per group per experiment, experiment done on at least 3 batches (3 days)
  - exclusion: if number of animal counted at the end of experiment less than 15.
  
  

other data types

Software and code:

• Versioning
  
• Publication
  
  • PID
    
  • dissemination/repository
    

• licensing

• tests

• containerization

Hardware documentation:

• Versioning
  
• Publication
  
  • PID
    
  • dissemination/repository
    
• licensing
  

Reagents (viruses, transgenics, ...):

• Versioning
  
• Publication
  
  • PID
    
  • dissemination/repository
    
• licensing
  

Project management documentation, labnotebook (ELN)

• Versioning
  
• Publication
  
  • PID
    
  • dissemination/repository
    
• licensing