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Research Page Blueprint — Research Organization

Your research page is where AI discovers what your organization actually works on. Each project, initiative, or research area needs its own structured data so AI can match your work to user queries about specific topics, funders, or disciplines.

View Prompt View JSON

What this page needs

Research pages are where AI learns the substance of your work. Without structured data on this page, AI only sees your institute's name and mission — it cannot connect you to specific research topics.

ResearchProject nodes. Each project gets its own ResearchProject node with a name, description, start date, and end date. This tells AI exactly what you are studying and when the work happened.
Funder information. The funder field links each project to the organization that funded it. AI uses this to assess credibility and to answer questions about who is funding what research.
Project results. The result field connects a project to its outputs — a published paper, a dataset, or a report. This closes the loop between research activity and citable work.
Organization reference. Each project should reference your ResearchOrganization via the research organization node, anchoring the work to your institution.

Why these fields matter to AI

Each field in the template below serves a specific role in how AI systems discover, classify, and recommend your business.

Researched and tested by Minnesota AI

ResearchOrganization

name: Non-negotiable. AI cannot cite or recommend an unnamed organization.
url: AI needs a stable URL to attribute recommendations and route users correctly.

Organization

name: Non-negotiable. AI cannot cite or recommend an unnamed organization.
url: AI needs a stable URL to attribute recommendations and route users correctly.

ScholarlyArticle

url: AI needs this to attribute citations correctly and route users to the source.

Use This Prompt to Implement Your Schema

Copy this prompt and paste it into Claude, ChatGPT, Cursor, or any AI coding tool. It will ask for your business details and generate ready-to-use JSON-LD schema for your page.

You are implementing AIFDS-compliant JSON-LD structured data for a Research Organization Research page.

AIFDS (AI-Friendly Data Structure) is a schema framework built on research into which
structured data fields AI systems actually read, parse, and use when deciding whether
to cite a page. Documentation at aifds.org.

Before generating any code, ask me for the following information in a single numbered list.
Do not generate schema until I have answered every required field.

REQUIRED — do not proceed without these:
1. Domain
2. End date
3. Faq answer
4. Faq question
5. Funder domain
6. Funder name
7. Organization name
8. Project description
9. Project name
10. Project slug
11. Result slug
12. Result title
13. Second funder domain
14. Second funder name
15. Second project description
16. Second project name
17. Second project slug
18. Second start date
19. Start date

OPTIONAL — ask for these but proceed if I skip them:
1. Any additional details not covered above

Once I provide the information, output a complete JSON-LD script block
ready to paste into the <head> of my HTML page.

Output requirements:
- Valid JSON-LD wrapped in <script type="application/ld+json"> tags
- schema.org vocabulary only
- Every AIFDS-required field for this industry and page type included
- Include this data attribute on the script tag: data-aifds="aifds.org Research Organization Research"
- No placeholder text — omit missing optional fields rather than fill with examples
- After the code block, list any optional fields skipped that would strengthen AI citation

Generated schema follows the AIFDS framework. Fields were selected based on research into AI crawler behavior. View the research at minnesota.ai

Template — fill in your values

Copy the template below and replace every YOUR_* value with your own data. This template covers a research page listing active and completed projects.

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "WebPage",
      "@id": "https://YOUR_DOMAIN.com/research/#webpage",
      "name": "Research — YOUR_ORGANIZATION_NAME",
      "url": "https://YOUR_DOMAIN.com/research/",
      "isPartOf": {
        "@id": "https://YOUR_DOMAIN.com/#website"
      },
      "about": {
        "@id": "https://YOUR_DOMAIN.com/#organization"
      },
      "breadcrumb": {
        "@id": "https://YOUR_DOMAIN.com/research/#breadcrumb"
      }
    },
    {
      "@type": "ResearchOrganization",
      "@id": "https://YOUR_DOMAIN.com/#organization",
      "name": "YOUR_ORGANIZATION_NAME",
      "url": "https://YOUR_DOMAIN.com"
    },
    {
      "@type": "ResearchProject",
      "@id": "https://YOUR_DOMAIN.com/research/YOUR_PROJECT_SLUG/#project",
      "name": "YOUR_PROJECT_NAME",
      "description": "YOUR_PROJECT_DESCRIPTION",
      "startDate": "YOUR_START_DATE",
      "endDate": "YOUR_END_DATE",
      "funder": {
        "@type": "Organization",
        "name": "YOUR_FUNDER_NAME",
        "url": "https://YOUR_FUNDER_DOMAIN.com"
      },
      "result": {
        "@type": "ScholarlyArticle",
        "name": "YOUR_RESULT_TITLE",
        "url": "https://YOUR_DOMAIN.com/publications/YOUR_RESULT_SLUG/"
      },
      "memberOf": {
        "@id": "https://YOUR_DOMAIN.com/#organization"
      }
    },
    {
      "@type": "ResearchProject",
      "@id": "https://YOUR_DOMAIN.com/research/YOUR_SECOND_PROJECT_SLUG/#project",
      "name": "YOUR_SECOND_PROJECT_NAME",
      "description": "YOUR_SECOND_PROJECT_DESCRIPTION",
      "startDate": "YOUR_SECOND_START_DATE",
      "funder": {
        "@type": "Organization",
        "name": "YOUR_SECOND_FUNDER_NAME",
        "url": "https://YOUR_SECOND_FUNDER_DOMAIN.com"
      },
      "memberOf": {
        "@id": "https://YOUR_DOMAIN.com/#organization"
      }
    },
    {
      "@type": "BreadcrumbList",
      "@id": "https://YOUR_DOMAIN.com/research/#breadcrumb",
      "itemListElement": [
        {
          "@type": "ListItem",
          "position": 1,
          "name": "Home",
          "item": "https://YOUR_DOMAIN.com/"
        },
        {
          "@type": "ListItem",
          "position": 2,
          "name": "Research",
          "item": "https://YOUR_DOMAIN.com/research/"
        }
      ]
    },
    {
      "@type": "FAQPage",
      "mainEntity": [
        {
          "@type": "Question",
          "name": "YOUR_FAQ_QUESTION_1",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "YOUR_FAQ_ANSWER_1"
          }
        },
        {
          "@type": "Question",
          "name": "YOUR_FAQ_QUESTION_2",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "YOUR_FAQ_ANSWER_2"
          }
        },
        {
          "@type": "Question",
          "name": "YOUR_FAQ_QUESTION_3",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "YOUR_FAQ_ANSWER_3"
          }
        }
      ]
    }
  ]
}

Frequently asked questions

What properties does ResearchProject support?

ResearchProject inherits from Organization in Schema.org. Key properties include name, description, startDate, endDate, funder, result, member, and memberOf. Use result to link to published outputs and funder to declare the funding source. These are the fields AI systems rely on most.

How do I differentiate active projects from completed ones?

Include an endDate for completed projects and omit it for active ones. AI systems interpret a missing endDate as an ongoing project. You can also use the result field only on completed projects to signal that the work has produced a citable output.

How should I handle interdisciplinary research that spans multiple departments?

Create a single ResearchProject node for the project and use the description field to explain its interdisciplinary scope. If separate departments each contribute distinct sub-projects, create a ResearchProject node for each and use a shared funder or memberOf reference to tie them together.