The charge of the Technical Infrastructure workgroup is to identify and describe the landscape of infrastructure stakeholders; the framework components necessary to move computable biomedical knowledge (CBK) from generation into practice by facilitating the testing, versioning, use, evaluation, scalability, interoperability, and dissemination of CBK; and the use cases that connect stakeholders to framework components.

The Technical Infrastructure workgroup will serve as a clearinghouse for news and events of interest to infrastructure stakeholders and the overall MCBK community.

We will engage with complementary efforts within MCBK and externally (e.g. RDA, GA4GH, Chan Zuckerberg Biohub) to identify what makes it difficult for people to implement CBK right now, and to ask, “How can we make it easier?”

Goals

• Catalog infrastructure stakeholders and their primary interests.

• Compile CBK resources and make them FAIR.

• Describe adoption cases and learn from their implementation to iteratively inform the CBK framework.

Who?

MCBK stakeholders are the generators, managers, and consumers of CBK and are active in knowledge generation, management, and consumption. Example MCBK Technical Infrastructure stakeholders include:

• Clinical researchers who use CBK

• Clinical providers

• Biomedical informatics leaders who run electronic health records (EHRs) or lead learning health systems (LHS)

• Consumers/patients

• Patient organizations (e.g. Michael J. Fox Foundation)

• Insurance companies

• Security/IT/Compliance

Papers and Publications

Coming soon!

Contact Us

MCBKInfrastructureLeads@umich.edu

The Standards workgroup seeks to mobilize diverse stakeholders in an ongoing and active engagement around the detailed scientific description of computable biomedical knowledge (CBK). We envision the creation and perpetuation of a robust CBK ecosystem that encourages public-private partnerships; supports open standards; generates value for users by making CBK more findable, accessible, interoperable, and reusable; highlights the limits of CBK and CBK biases; and engenders equity in the generation and application of CBK for health.

Goals

• Identify, extend, and/or develop needed standards related to CBK that would help others standardize descriptions for characterizing CBK.

• Identify, extend, and/or develop the first version of a minimum necessary standard for what ultimately may become a multi-dimension typology of CBK that supports robust CBK typing.

• Identify and precisely define the key dimensions for annotating CBK with metadata to promote FAIR principles.

• Identify, extend, and/or develop standards related to CBK that would help others standardize knowledge representation, knowledge management, and knowledge application services for each type of CBK.

Who?

We seek engagement with a diverse group of stakeholders interested in standards for CBK spanning many areas of research, data science, knowledge representation, knowledge management, clinical decision support, standards development, policy, etc.