# Key KGrid Materials
A curated list of KGrid publications, presentations, and articles that shape and inspire our work.
# KGrid Team Works
# Published Papers
Digital Knowledge Objects and Digital Knowledge Object Clusters: Unit Holdings in a Learning Health System Knowledge Repository (opens new window) The notion of a Knowledge Object is born in this early design paper.
The Knowledge Object Reference Ontology (KORO): A formalism to support management and sharing of computable biomedical knowledge for learning health systems (opens new window) Knowledge Objects are formally defined for the first time here.
Architecture and Initial Development of a Digital Library Platform for Computable Knowledge Objects for Health (opens new window) Where are we going to put Knowledge Objects to manage them as resources? The need for a repository-archive is addressed here.
Architecture and Initial Development of a Knowledge-as-a-Service Activator for Computable Knowledge Objects for Health (opens new window) How can we run the payloads in Knowledge Objects via APIs and webservices? The service-side component of KGrid - called an Activator - is described here.
ScriptNumerate: A Data-to-Advice Pipeline using Compound Digital Objects to Increase the Interoperability of Computable Biomedical Knowledge (opens new window) Can Knowledge Objects be created automatically by extending an analytic pipeline? Yes, they can. This finding opens the door to analytics that immediately result in manageable resources and active webservices.
The Knowledge Grid: A Platform to Increase the Interoperability of Computable Knowledge and Produce Advice for Health (opens new window) This dissertation emphasizes the Knowledge Grid as a distributed architecture for generating advice.
# Other Resources
# Topics Related to KGrid
# Library Science
Digital Open Annotation with Hypothesis: Supplying the Missing Capability of the Web (opens new window) Here, the notion of open annotation for KGrid Knowledge Objects comes into play.
Mobilizing Computable Biomedical Knowledge (CBK):A Manifesto (opens new window) The payoads of Knowledge Objects are CBK artifacts. It is CBK that needs to flow openly and freely to advance biomedicine and have Learning Health Systems.
Mobilizing Computable Biomedical Knowledge for Precision Medicine (opens new window) All precision medicine depends on machine-executable algorithms - CBK - to do required precisionizing.
Stewardship in the “Age of Algorithm” (opens new window) The legal, social, and ethical impacts of algorithms must be considered. All CBK is biased and limited, and its biases and limits need to be well-understood.
A multi-layered framework for disseminating knowledge for computer-based decision support (opens new window) This paper describes four layers from L1, human-readable knowledge to L4, fully-deployed machine-executable knowledge.
A “Fundamental Theorem” of Biomedical Informatics (opens new window) Changing an information space for a person is not the same as improving it.
Ten Commandments for Effective Clinical Decision Support: Making the Practice of Evidence-based Medicine a Reality (opens new window) The domain of biomedical informatics is keenly interested in using CBK for CDS. KGrid and Knowledge Objects enable CDS via webservices, providing the potential for designated communities of all sorts to bring forward their expertise and knowledge in machine-executable forms.
# About Open Science
Evidence-Based Medicine in the EMR Era (opens new window) An important story of analyzing available data in real-time to gain knowledge to inform a single medical decision.
The unacknowledged convergence of open source, open access, and open science (opens new window) The economics of the Knowledge Grid come into play in this article.
Ushering in a New Era of Open Science Through Data Sharing (opens new window) Where data sharing goes, we believe machine-executable knowledge sharing must follow.
# Perspectives on Knoweldge
Big Data And New Knowledge In Medicine: The Thinking, Training, And Tools Needed For A Learning Health System (opens new window) To generate the knowledge we need, let inductive reasoning followed by validation complement deductive reasoning followed by hypothesis testing.
Desiderata for sharable computable biomedical knowledge for learning health systems (opens new window) This paper lists things to account for before machine-executable knoweldge can be shared.
Learning as Data Compression (opens new window) KGrid generally focuses on machine-executable knowledge arising from analytic or deliberative data compression.
Semantic information and the network theory of account (opens new window) What does it take to upgrade information and arrive at knowledge? Try embedding information in a network so that it flows in such a way that correct answers to questions are provided.
What is A Philosophical Question? (opens new window) This paper categorizes knowledge as: observational, logico-mathematical, and noetic. KGrid focuses primarily on providing logico-mathematical answers using computable biomedical knowledge.
# Sociotechnical Infrastructure Perspectives
Steps Toward an Ecology of Infrastructure: Design and Access for Large Information Spaces (opens new window) The concept of infrastructure is addressed here in fundamental ways.
Demonstrating Cloud-based Clinical Decision Support at Scale: The Clinical Decision Support Consortium (opens new window) Scale stories like this one reveal aspects of infrastructure.
The dynamics of innovation: from National Systems and “Mode 2” to a Triple Helix of university–industry–government relations (opens new window) The sociotechnical infrastructures of scholarly production and scholarly communication are changing. Here is a view of some of the changes in these areas through the lens of innovation.
Toward an Information Infrastructure for Global Health Improvement (opens new window) Learning Health Systems require high-functioning sociotechnical infrastructures along the lines described here.
# Relevant Project Web Sites
Research Object (opens new window) Improving the reproducibility of research is being advanced by using Research Objects, objects that can contain Knowledge Objects to convey results in machine-executable formats.