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meeting 2021 04 28
Location: MS Teams
Attendees - Doug Manuel (Chair, uOttawa and Statistics Canada), Carolina Perez-Iracheta (Statistics Canada), Niels Nicholaï (uLaval), David Champerdon (PHAC), Chand Magnat (NML/PHAC), Audra Nagasawa (Statistic Canada), Bofu Li (Dalhousie U), Lev Kearney (NML/PHAC), Peter Vanrolleghem (uLaval), Kerry McPhedran (u Saskatchewan).
NML - National Microbiology Laboratory PHAC - Public Health Agency of Canada
Regrets - Howard Swerdfeger, Benjamin Trueman, Wiley Jennings, Claire Duvallet, Markus Brinkmann, Vince Pileggi, Aboubakar Mounchili, Heather Hannah, Willey Jennings
| Item No. | Item | Purpose | Speaker | Time (min) |
|---|---|---|---|---|
| 1 | Introductions | Information | All | 10 |
| 2 |
Status of ODM 1. What is in V1.1? 2. Who is using the ODM? 3. Who is not using the ODM? 4. Current development and collaboration process 5. Work in progress 6. International collaborations 7. Funding and resources |
Background | Doug and Niels | 20 |
| 3 |
Roadmap and priorities What ias been working well. What are the next priorities? |
Additional help is possible to take on tasks | All | 45 |
| 4 |
Next steps 1. Guidance on international collaboration 2. Terms of reference - coming! 3. Membership |
Discussion | All | 15 |
References
Scoping document: Ottawa Wastewater Data Model
Scoping document: Canadian Wastewater Surveillance Database
Doug noted that there are discussions regarding additions to the Steering Committee to reflect suggestions form last meeting. Stay tuned.
2.1. There are now stable versions of the ODM since version 1.0. Introduced in Version 1.1 were a range of small corrections for consistent naming convention. There were several addtioitional tables and variables, such as a prelimiary approach to report variants of concern.
2.2. Organziations that use the ODM include Ontario and Québec wastewater-based surveillance programs that comprise approximately 150 sites of approximately 200 sites in Canada. CETO is a Québec commerical company that provides an information system for municipal wastewater systems. They use the ODM in their new applcation to support wastewater information and reporting. CETO supports both import and export.
National Microbiology Lab is not fully using the ODM but Chand and Lev (from the NML) indicated that this was planned and that further discussions are underway with the core ODM development team to integrate ODM into NML's laboratory information management system (LIMS). Bufo describe the structure of data in the Maritime provinces and the potential benefit from ODM use, but that labs would require addition introduction to the ODM and could benefit from the approach of "connectors" that were developed for Québec labs. Kerry described a similar situation in Saskatchewan where data is being shared to modellers, but currently not in ODM format. However, there is interest in doing so to ensure the Saskatchewan modellers can robustly colloborate with their interprovincal and national counterparts.
Work-in-progress by the core development team has recently focused supporting the development of dashboards in Ontario and Québec (where the majority of support for ODM development has occurred). Both of these provinces have databases in ODM format. Ontario MECP has shared the additional documentation, validation and data cleaning steps. These resources will be incorporated into the ODM repository in an open softare format (Python) for general use. Québec 'connectors' will be used for additional laboratory sites outside Québec - likely first piloted with Ottawa. Consideration is being given to a more general application that can be used by any laboratory without need for Python programming. The general application will potentially follow the recodeflow library developed by the uOttawa/Ottawa Hospital Research Institute or other application such as Maelstrom.
Niel's recently organized and chaired a meeting of international wastewater data models including representatives from the European Community, the United States Centre for Disease Control and Prevention National Wastewater Surveillance System (NWSS), NORMAN SCORE, and CovidPoops. There appears to be three dictionaries worldwide: ODM, NWSS and NORMAM SCORE. ODM and NWSS are similar in many regards - a reflection of similar objectives, program structure and collaboration. ODM is a fully open approach and some common issues for both ODM and NWSS are discussed on the ODM GitHub site. NORMA SCORE is a simplier approach with one Excel table and a process where sites can report and have their data added to the NORMAN SCORE data repository. Internationally, the Gates Foundation PATH program is developing an international database.
Internationally, there was a strong recognition of the value of collaboration. Next steps include: a comparison of the three main data dictionaries (by Niels); ongoing discussions; potential collaboration to generate a compatible minimal dictionary.
- Focus on supporting labs that wish to use the ODM.
- Create minimal data elements.
- Documentation. Including videos, meetings, how to.
- Templates and how to use them.
- Extra information, such as validation.
- Consider data flow to the ODM. - data dictionary and metadata for calibration curves and steps to create the ODM from assay. - Templates for generating calibration curves, etc.