Workshop: How to describe biological data?

Current good science practices require to correctly label the data produced in modern biology. Not only do these labels give context and interpretation during data analysis, but they also allow interoperability between different investigations and potential reanalyses. However, the process of describing your data thoroughly, i.e. adding correct metadata, is not straightforward and can be confusing.

This workshop provides guidance on 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 future data analysis and comparable results by you and others.


The focus will be on teaching you how to use terms based on existing ontologies and controlled vocabulary. Your engagement and continuous use of these terms will help to increase future machine-actionable analyses. After the workshop you will have successfully described your own datasets and prepared the necessary metadata for future deposition of your described datasets.

 

Save the date! Download the calendar event as ICS file

Register until 1st of June 2024!

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

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

 

Expenses

Registration is mandatory, but there will be no participation fee. Note that there is a maximum of 20 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.
If you do, let us know if you are interested in

  • a small city tour and/or
  • dinner the day before the workshop (own expense)

 

Educators and Organizers

Educators:

  • Maja Magel, M.Sc., certified Carpentries Instructor
  • Charlie Pauvert, PhD, certified Carpentries instructor

Organizers:

 Helpers:

  • Jacobo de la Cuesta,Universitätsklinikum Tübingen
  • Catherine Gonzalez, IT Center RWTH Aachen University, Consulting and Stewardship
  • Andrea Borbón, Max Planck Institute for Biology (Alumni)

The educators belong to the NFDI4Microbiota, a consortium that is part of the German NFDI (National research Data Infrastructure). One of the missions of the NFDI4Microbiota is to support the microbiology research community in making its data more FAIR via adequate tools and training.

This workshop is supported by the Eberhardt Karls University of Tübingen and the Cluster of Excellence “Controlling Microbes to Fight Infections” (CMFI).
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