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hortus:fair:introduction

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hortus:fair

FAIR data, dissemination and impact of your research

Use this section when you need to:

  • understand FAIR data principles
  • manage metadata effectively
  • prepare research outputs for reuse
  • disseminate content across platforms
  • track impact and interoperability

Main roles:

  • Contributors / Researchers
  • Maintainers
  • Advanced users

Related sections:

HORTUS strongly supports FAIR data principles to maximise research impact.


The importance of FAIR data

FAIR stands for:

  • Findable
  • Accessible
  • Interoperable
  • Reusable

These principles ensure that research outputs can be:

  • discovered easily
  • accessed reliably
  • integrated with other systems
  • reused in future research

hortus/fair/introduction.1775056228.txt.gz · Last modified: by savino.frisardi