-
Notifications
You must be signed in to change notification settings - Fork 205
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Request for new ontology [COVID-19 Epidemiology and Monitoring Ontology] #2332
Comments
I notice that your ontology injects a lot of axioms into existing ontologies:
OBO operations has not yet achieved consensus on best practices for axiom injection (#1443), so my comments do not reflect official OBO views. In the past this has caused a lot of issues as it is easy to arrive at a situation with conflicts. For example, you inject APOLLO_SV:00000569 under BFO quality, but this conflicts with what is in APOLLO_SV: so merging these ontologies results in a conflict:
I would recommend that you have transparent (i.e github issue) bilateral discussions with the relevant ontologies where if you either disagree with their placement or want to otherwise inject there is clear ongoing discussion about this. I note you have also injected an axiom subClassOf 'quality of' some 'spatial region' into IDO infection incidence rate. This is a pretty odd axiom, it didn't seem to original with IDO, and it will also cause inference issues. I also note that that many of your terms seem out of scope for a covid ontology. What happens if say apollo sv or IDO or another ontology wants to add a term "infection fatality rate"? Are they obliged to check all ontologies in OBO including CEMO? What is the SOP if it is determined it is in scope for apollo_sv? Is the term adopted or is the CEMO term obsoleted and replaced by an apollo_sv term? I want to be clear to other members of OBO-operations here: the problems I note are prevalent with many other OBO ontologies, so I don't think CEMO should be held to a different standard. But I want to underscore the importance of other members of OBO being supportive of proactively solving some of these issues |
I agree that CEMO's focus on COVID-19 can be seen as a use case of epidemiological and monitoring ontology in COVID-19. |
Hi @NuriaQueralt, Thank you for your submission. The review for new ontologies will be executed as a two stage process.
You will be informed once your ontology is loaded in the OBO NOR Dashboard. All communications should take place in the present issue. I see that you have already reserved the namespace with Bioregistry. Please let me know if you want to postpone your submission to the NOR dahsboard considering the issues raised above. |
Hi @cmungall @linikujp @pfabry, Thank you very much for your fast feedback. @cmungall your analysis is super useful! we are currently drafting a more accurate modelling of domain knowledge that have already addressed some of these logical inconsistencies. When finished, we think that will resolve them. @linikujp this is a great idea and we support it. @pfabry I am asking the CEMO team about postponing our submission to the NOR dashboard. I will get back to you asap. A question, what happens if our ontology fails to pass some points? will we have the chance to address them and try again? |
Yes, of course :) It's more a back and forth process whose purpose is to ensure an ontology follows OBO foundry's principles. |
Hi @pfabry We would like to postpone our submission to the NOR dahsboard considering the issues raised above. How should I proceed once we address the issues and feel ready to restart the submission? |
I would advise you to close this issue and open a new one once you're ready. |
Hi @pfabry , Thank you very much! |
Feel free to reopen this issue or create a new one when you are ready to submit. |
Title
COVID-19 Epidemiology and Monitoring Ontology
Short Description
The COVID-19 Epidemiology and Monitoring Ontology (CEMO) provides a model for describing, sharing and integrating of COVID-19 epidemiological data for outbreak monitoring and research.
Description
The COVID-19 Epidemiology and Monitoring Ontology (CEMO) is designed to make epidemiological quantitative data for monitoring the COVID-19 outbreak machine-readable and interoperable to facilitate its exchange, integration and analysis, to eventually support evidence-based rapid response. This ontology has built following knowledge-engineering standards and the OBO principles to bridge epidemiology into the semantic landscape of the biomedical sciences.
CEMO is designed to be an OBO ontology, i.e., founded on the BFO hierarchy. The taxonomic structure is mainly extended with IDO, a core ontology for infectious diseases, STATO, and APOLLO_SV for epidemiology OBO ontologies terms necessary for epidemiology surveillance. The ontology is built in OWL 2, a DL-based formalism and semantic web standard for knowledge representation to enable data sharing and logic reasoning.
Our formal modeling followed a rationale already used in other studies: 1) determine the domain and scope of the ontology; 2) ontology reuse and addressing poor ontological coverage of COVID-19 epidemiology; and 3) development of a conceptual model for quantitative epidemiological terms. The potential users of the ontology are epidemiological and biomedical researchers.
Identifier Space
CEMO
License
CC0
Domain
health
Source Code Repository
https://github.com/NuriaQueralt/covid19-epidemiology-ontology
Homepage
https://github.com/NuriaQueralt/covid19-epidemiology-ontology
Issue Tracker
https://github.com/NuriaQueralt/covid19-epidemiology-ontology/issues
Contribution Guidelines
https://github.com/NuriaQueralt/covid19-epidemiology-ontology#i-want-to-contribute
Ontology Download Link
https://github.com/NuriaQueralt/covid19-epidemiology-ontology/blob/main/owl/cemo.owl
Contact Name
Núria Queralt Rosinach
Contact Email
[email protected]
Contact GitHub Username
NuriaQueralt
Contact ORCID Identifier
0000-0003-0169-8159
Formats
Dependencies
Related
Usages
No response
Intended Use Cases and/or Related Projects
To enable to enable the publication of aggregated health data and federated analysis on sensitive health data for projects such as VODAN.
Data Sources
We reviewed among other sources:
Please see more details here.
Additional comments or remarks
Note that CEMO is currently under development and subject to change.
OBO Foundry Pre-registration Checklist
dc:license
annotation, serialised in RDF/XML.The text was updated successfully, but these errors were encountered: