Learner's information

Target audience

This workshop is meant to be a beginner-friendly introduction suitable for newbies when it comes to data submission and the collection of appropriate biological metadata in microbiome research.

 
The target audience of the workshop is:
  • Person with knowledge about microbiology
  • Late-stage (wet lab) researchers with datasets that are in preparation to be submitted to repositories
  • Early-stage researchers that will be generating huge datasets
  • Researchers having difficulties to apply exisiting ontologies and metadata fields to their dataset
  • Data stewards or broker responsible for submitting data

Learning Objectives

After this workshop you will...
  • have prepared the necessary metadata to ease the upload of your data to a repository of your choice.
  • know how to describe your datasets in a FAIR manner which ensures that your uploaded data is findable and re-usable by machines and humans for big data analysis and comparable results by you and others.
  • be able to select terms based on existing ontologies and controlled vocabulary (to increase future machine-actionable analysis).
  • be knowledgeable on how to suggest new (machine-actionable) terms.
  • have discussed with peers about struggles with the repository requirements on metadata upload and found solutions.
  • provide feedback to NFDI4Microbiota consortium about your future requirements and wishes of (semi-) automated metadata collection and upload processes.

 During this workshop, we will not..

  • upload or publish your data
  • analyze/ re-analyze your data
  • develop an ontology
  • set-up an automatic transfer of your metadata to repositories

 

Expenses

Registration is mandatory, but there will be no participation fee. Note that there is a maximum of 25 attendees, confirmation will be given on a first come, first served basis.

The following expenses will be covered by the organizers:

  • lunches
  • coffee breaks

The following expenses will be covered by you:

  • travel and accommodation 

We recommend arriving a day earlier if you have a long arrival day.