- MATCHED
- UNCERTAIN
- MISSING
- HUMAN
Short answer
How can I use AI to clean up research affiliation text?
Your AI compares messy affiliation strings against the Research Organization Registry to find the correct ROR ID. This process turns inconsistent names into a single, reliable source of truth. You'll get a structured list of standardized identifiers.
The results.
Where your data lands.
The AI sorts your messy text into these specific outcomes.
MATCHED
Standardized ROR IDs
The AI finds the exact match in the registry. You get the unique ROR identifier for each organization.
UNCERTAIN
Ambiguous names
When a name is too vague, the AI flags it. You'll see the potential matches it found for review.
MISSING
Unrecognized entities
If the registry has no record of the name, the AI marks it as unknown. This keeps your dataset clean.
HUMAN
Manual review needed
The AI flags high-uncertainty matches for you. You decide if the mapping is correct before finalizing.
The workflow
What your AI does when the data arrives.
The AI acts as a bridge between your raw text and the official registry.
Scan the registry
The AI looks through the available research organizations to find potential candidates for your text.
list_organizationsVerify the match
Once it finds a likely candidate, the AI pulls the full details to ensure the ID is correct.
get_organizationMap the ID
The AI links your messy string to the verified ROR identifier.
get_organizationFlag mismatches
The AI identifies names that don't exist in the registry so you can handle them separately.
list_organizations
Try it
Copy these to start.
Use these prompts to kick off the cleaning process.
Starting points
Swap the bracketed text for your actual data source, like a CSV file or a list of names.
ROR API Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_qUJpWiFMw4aZtzyRjlaTiSeQqwA7ypQJ4eY83FWk/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — ROR API capabilities are ready to use.
{
"mcpServers": {
"ror-api-research-organization-registry-mcp": {
"url": "https://edge.vinkius.com/vk_preview_qUJpWiFMw4aZtzyRjlaTiSeQqwA7ypQJ4eY83FWk/mcp"
}
}
}Clean the affiliation names in this CSV file using the ROR API.
Find the ROR identifiers for the list of universities in my research spreadsheet.
Check these messy affiliation strings against the ROR registry and give me a table of IDs.
Identify which organization names in this text don't have a valid ROR ID.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect ROR API once, then ask.
Just link the ROR API to your client. Your credentials stay encrypted, and you can start cleaning data immediately.
Connect ROR API to your AIFAQ
How this task behaves.
- 01
Can the AI change the original text in my file?
No. The AI only reads your data and provides the new, cleaned identifiers for you to use.
- 02
Will the AI automatically fix typos in organization names?
The AI uses the registry to find the correct name, but it won't rewrite your original source file.
- 03
What happens if an organization isn't in the ROR registry?
The AI will tell you it couldn't find a match. It won't guess or invent an ID.
- 04
Does the AI decide which matches are correct?
The AI suggests the best matches based on the registry. For ambiguous cases, it flags them so you can make the final call.
- 05
Can I use this to add new organizations to the ROR registry?
No. This MCP is for reading and mapping data, not for writing or updating the registry itself.
More questions about ROR API? The Connector page answers them. See everything the ROR API Connector can do
Connect ROR API to Claude, Cursor, ChatGPT & more
