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Meeting Date

The DMRWG meets bi-weekly on Tuesdays at 12:00-13:00 PT / 16:00-17:00 UTC. Check the ToIP Calendar for meeting dates.

Zoom Meeting Link / Recording

Main Goal of this Meeting

TBD

Agenda Items and Notes (including all relevant links)

TimeAgenda ItemLeadNotes
5 min
  • Start recording
  • Welcome & antitrust notice
  • Introduction of new members
  • Agenda review
Chairs
  • Antitrust Policy Notice: Attendees are reminded to adhere to the meeting agenda and not participate in activities prohibited under antitrust and competition laws. Only members of ToIP who have signed the necessary agreements are permitted to participate in this activity beyond an observer role.
  • New Members:
5 minsAnnouncementsTF Leads

News or events of interest to WG members:

  • A presentation is planned for mid-Jan 2023 by James Schoening (IEEE member and chair of the Ontology WG) on the IEEE MyOntology project, which is working with the IAM project - in an integrated personal data system (iPDS) in a joint project. 
    • The MyOntology project is an open-source project open (free) to anyone who joins the IEEE and creates an account.
    • From the GitLab project description:  "The My Ontology (MO) is a standards-based data format for the individual, which allows uniquely formed data from vendors to be transformed into this common format and better utilized by the individual."
  • We are looking for Data related topics and presentations for 2023.
    • The target is to look for a series of projects to hold working meetings on delivering results and presentations of any kind on Data in an SSI world, particularly for data other than what is stored in Verifiable Credentials, particularly how to integrate SSI Trust, Date Exchange (joint work with the DIF Data Agreements group) and Authentic Data principles into existing data exchange, publication and pipeline models in current and future practice
20 minsPossible general solutions to modeling data across multiple schemas (including multiple standards)Neil Thomson
5 mins
  • Review decisions/action items
  • Planning for the next meeting 
ChairsLine up topics and presentations for meetings in 2023

Screenshots/Diagrams 

An illustration of taking concrete "column data" (e.g. each Measurement,
Condition or Person data type is defined as a data column) which are
categorized in a "row data" model where the category and and type of data are
"self-describing" metadata rows in columns in the meta/abstract tables using the 
model below. 

The underlying "meta/abstract" model derived from multiple medical data
standards for data exchange in the OMOP model

OMOP model - how multiple standards and terms (terminologies) can be
combined in a single "meta/abstract" model that allows the extraction of data
from multiple standards in a scalable way




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