This lesson is still being designed and assembled (Pre-Alpha version)

FAIR in (biological) practice: Glossary

Key Points

Welcome
  • Do not be shy

  • Be nice

  • Remember you can do better research by planing for sharing

Introduction to Open Science
  • Open Science increases transparency in research

  • Publicly funded science should be publicly available

Being FAIR
  • FAIR stands for Findable Accessible Interoperable Reusable

  • FAIR assures easy reuse of data underlying scientific findings

Introduction to metadata
  • Metadata provides contextual information so that other people can understand the data.

  • Metadata is key for data reuse and complying with FAIR guidelines.

  • Metadata should be added incrementally throught out the project

It's all about planning
  • Data within a project go through a set of steps known as the research data life cycle.

  • Planning can help make your data FAIR.

  • Data management is a continuous process during a project.

  • DMP is the best way to prepare for new project.

Record keeping
  • Good record keeping ensures transparency and reproducibility.

  • Record keeping is an integral part of data FAIRification.

  • Record keeping is key to good data management practices.

Working with files
  • A good file name hints the file content

  • Good project organization saves you time

  • Describe your files organization in PROJECT_STRUCTURE

(Meta)data in Excel
Templates for consistency
Jupyter notebooks for data analysis
Version control
Public repositories
  • Repositories help researchers share their research data.

  • Some repositories are general and others are more data-type specific.

  • Repositories are key players in data reuse.

?Putting it all together?
Where to next
Template

Glossary

FIXME

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