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A06Strategy & planning

Brain research cluster strategy and AI service planning

A long-term consulting engagement linking research-resource management, data use, and researcher services for a public brain research cluster. Operational findings and user needs are translated into priorities and a staged implementation plan.

Project scope
Strategy & consulting
Technology & disciplines
User research · SWOT · Metadata and data quality · AI service roadmap
Explore the features
Brain research cluster strategy and AI service planning
A06 / PROJECT COVERStrategy & consulting
01 OVERVIEW

The challenge and approach

The work examines fragmented resource systems, specialist portals, and pathology-image archives. User surveys and SWOT analysis inform integration, resource digitization, and AI research-support proposals, alongside metadata, quality, ownership, budgets, and evaluation criteria.

Original project visuals are presented in Korean, with English explanations alongside them.

02 FEATURES

The features, in context

01 / 05

Researcher needs analysis

Analyze user characteristics, satisfaction, and requested services to set priorities for service improvement.

Researcher needs analysis — Analyze user characteristics, satisfaction, and requested services to set priorities for service improvement.
Researcher needs analysisView full-size image (new tab)
02 / 05

Integrated resource-management planning

Connect acquisition, registration, evaluation, distribution, and use across the research-resource lifecycle.

Integrated resource-management planning — Connect acquisition, registration, evaluation, distribution, and use across the research-resource lifecycle.
Integrated resource-management planningView full-size image (new tab)
03 / 05

Data standards and quality planning

Define metadata, history, quality controls, and the management requirements for connecting data across operating institutions.

Data standards and quality planning — Define metadata, history, quality controls, and the management requirements for connecting data across operating institutions.
Data standards and quality planningView full-size image (new tab)
04 / 05

AI research-support planning

Develop a phased direction for intelligent search and specialist portals that support researchers’ information discovery and analysis.

AI research-support planning — Develop a phased direction for intelligent search and specialist portals that support researchers’ information discovery and analysis.
AI research-support planningView full-size image (new tab)
05 / 05

Implementation roadmap

Connect near-, medium-, and long-term tasks with budgets and evaluation measures so stakeholders can assess sequencing and progress.

Implementation roadmap — Connect near-, medium-, and long-term tasks with budgets and evaluation measures so stakeholders can assess sequencing and progress.
Implementation roadmapView full-size image (new tab)
03 SCREENS & DESIGN

How the design comes together

Explore the project’s information structure, interface composition, and design decisions

Project detail board — Brain research cluster strategy and AI service planning
Project detail boardView full-size image (new tab)
04 WORKFLOW

Following the user’s next step

The flow connects entry points, user roles, and the next step in the work

Project workflow — Brain research cluster strategy and AI service planning
Project workflowView full-size image (new tab)
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