Agenda Items and Notes (including all relevant links)
Time
Agenda Item
Lead
Notes
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 mins
Announcements
TF 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 mins
Possible general solutions to modeling data across multiple schemas (including multiple standards)
Neil Thomson
5 mins
Review decisions/action items
Planning for the next meeting
Chairs
Line 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