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The AusTraits plant dictionary.

Elizabeth H WenkHervé SauquetRachael V GallagherRowan BrownleeCarl BoettigerDavid ColemanSophie YangTony AuldRussell L BarrettTimothy J BrodribbBrendan ChoatLily DunDavid EllsworthCarl R GosperLydia GujaGregory J JordanTom Le BretonAndrea LeighPatricia Lu-IrvingBelinda E MedlynRachael H NolanMark K J OoiKaren D SommervillePeter Anton VeskMatthew WhiteIan J WrightDaniel S Falster
Published in: Scientific data (2024)
Traits with intuitive names, a clear scope and explicit description are essential for all trait databases. The lack of unified, comprehensive, and machine-readable plant trait definitions limits the utility of trait databases, including reanalysis of data from a single database, or analyses that integrate data across multiple databases. Both can only occur if researchers are confident the trait concepts are consistent within and across sources. Here we describe the AusTraits Plant Dictionary (APD), a new data source of terms that extends the trait definitions included in a recent trait database, AusTraits. The development process of the APD included three steps: review and formalisation of the scope of each trait and the accompanying trait description; addition of trait metadata; and publication in both human and machine-readable forms. Trait definitions include keywords, references, and links to related trait concepts in other databases, enabling integration of AusTraits with other sources. The APD will both improve the usability of AusTraits and foster the integration of trait data across global and regional plant trait databases.
Keyphrases
  • genome wide
  • big data
  • electronic health record
  • dna methylation
  • endothelial cells
  • healthcare
  • gene expression
  • deep learning
  • machine learning
  • artificial intelligence
  • adverse drug