Consider The RDCA-DAP: the data interrogator Use case for some examples

[matentzn]

• Integrating a lot of data source such as
  • Clinical trial data
  • Registry data
  • Upcoming:
    • EHR
    • Genomics data
• "implementing ontologies"
• easy cleaning and formatting
• records are tagged
• What are all the different options for "dosage field"
• access to metadata from the get go: making them FAIR
• Metadata catalog <- showed the search. Direct matches only.
• Ontology annotation development underway for greater automation
  • Final step
• input data ranges on all levels of curation:
  • full curated
  • minimally curated
  • other data coming
• common semantic model
  • convert into SDTM on export
• Basic data integration tools to "understand the data better"
• What makes this platform different? - Ontologies
  • access to robust metadata
  • Cpath spends more energy on aggregation of data
  • Searching for similar disease
  • Being able to search for things that are not explicitly mentioned

R shiny interrogator exploration across diseases data dictionary

[jamesaoverton]

These are notes from a seminar?

[matentzn]

yea