Start with the workflow
The first question is what researchers need to discover, organize or review; a technology choice follows from that workflow and its governance constraints.
Responsible digital tools for research discovery and knowledge systems.

Responsible digital tools for research discovery and knowledge systems.
Research workflows, evidence organization, governance
Public institutions, universities, research organizations, foundations and specialist organizations with a defined evidence or research need.
Each engagement begins with a defined question and scope. Appropriate methods, source transparency, quality review, data protection and required ethics approvals are agreed before implementation.
Research, evidence, evaluation, policy intelligence, knowledge translation and research infrastructure for institutions.
View pageGovernanceScientific integrity, responsible governance, ethical research, data stewardship and quality improvement guide the center’s development.
View pageCollaborationExplore research and knowledge collaboration with universities, institutions, public bodies and specialist organizations.
View pageThe scope and proposed output are agreed before research begins. The work is presented as a capability, not a claim of a completed GARC commission.
The first question is what researchers need to discover, organize or review; a technology choice follows from that workflow and its governance constraints.
Source provenance, permissions, privacy, evaluation criteria and a human review point should be built into any research-oriented AI workflow.
A prototype may help with search, classification or drafting. It must not be described as diagnostic, therapeutic or clinically validated without appropriate evidence and authorization.
The details vary by project, but the decision gates remain explicit.
Agree the question, audience, deliverables, timeline, access needs and review responsibilities in writing.
Assess whether human-participant approval is needed, define data handling and agree authorship, intellectual property and publication conditions.
Review the draft for accuracy, limitations and accessibility before release; agree how the output will inform a real decision or next research step.
A practical way to define the engagement before work begins.
Which research task could a digital system improve measurably without reducing source traceability or human control?
Workflow assessment, requirements, risk register, evaluation criteria, prototype scope and governance controls.
The parties agree the final scope, method, review, responsibilities, timeline and permitted use before any commitment is described as an active GARC project.