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Metadata for Data dIscoverability aNd Study rEplicability in obseRVAtional Studies (MINERVA): Development and Pilot of a Metadata List and Catalogue in Europe.

Romin PajouheshniaRosa GiniLia GutiérrezMorris A SwertzEleanor HydeMiriam C J M SturkenboomAlejandro AranaCarla FranzoniVera EhrensteinGiuseppe RobertoMiguel GilMiguel-Angel Maciá-MartínezWiebke SchäferUlrike HaugNicolas H ThurinRégis LassalleCécile Droz-PerroteauSilvia ZaccagninoMaria Paula BustoBas MiddelkoopKarin GembertFrancisco Sanchez-SaezClara L Rodríguez-BernalGabriel Sanfélix-GimenoIsabel HurtadoManuel Barreiro-de AcostaBeatriz Poblador-PlouJonás Carmona PírézAntonio Gimeno-MiguelAlexandra Prados-TorresAnna SchultzeElla JansenRon M C HeringsJosephina G KuiperIgor LocatelliJanja JazbarŠpela ŽerovnikMitja KosSteven SmitSirje LindAndres MetspaluStefania SimouKarin HedenmalmAna CochinoPaolo AlciniXavier KurzSusanna Perez-Gutthann
Published in: Pharmacoepidemiology and drug safety (2024)
A metadata list was finalized, a prototype was successfully populated, and a good practice guide was developed. Setting up and maintaining a metadata catalogue on RWDSs will require substantial effort to support discoverability of data sources and reproducibility of studies in Europe.
Keyphrases
  • electronic health record
  • big data
  • healthcare
  • primary care
  • drinking water
  • randomized controlled trial
  • quality improvement
  • machine learning
  • data analysis
  • clinical trial
  • artificial intelligence
  • deep learning