
Terminus UTM Builder
Your UTM Governance Hub for Clean Campaign Data

The universal standard for persistent researcher identification and scholarly interoperability.

ORCID (Open Researcher and Contributor ID) operates as a critical layer of the global research infrastructure, providing a non-proprietary, persistent digital identifier for individuals to use throughout their professional careers. Built on a RESTful API architecture with support for JSON and XML payloads, ORCID enables automated linkages between researchers and their professional activities, including publications, grants, and peer reviews. In the 2026 market, it stands as the de facto standard for 'Open Science' compliance, utilized by major publishers (Elsevier, Springer Nature) and funding agencies (NIH, ERC) to mitigate name ambiguity and ensure accurate attribution. Technically, the platform leverages OAuth 2.0 to facilitate secure data exchange between the ORCID Registry and third-party systems, such as Institutional Repositories and CRIS (Current Research Information Systems). By integrating ROR (Research Organization Registry) and Crossref/DataCite metadata, ORCID facilitates a 'collect once, reuse often' data entry model, significantly reducing administrative burden while increasing the visibility of research outputs. For enterprises and universities, the Member API provides deep-link synchronization and the ability to write validated data directly to researcher records, ensuring institutional data integrity.
ORCID (Open Researcher and Contributor ID) operates as a critical layer of the global research infrastructure, providing a non-proprietary, persistent digital identifier for individuals to use throughout their professional careers.
Explore all tools that specialize in researcher disambiguation. This domain focus ensures ORCID delivers optimized results for this specific requirement.
Granular permissions allowing researchers to grant 'read-limited' or 'update' access to specific parts of their profile.
Automatic record population when a researcher submits a DOI-enabled work to a publisher.
A specific API module allowing journals to push peer review activity to a researcher’s profile.
Standardized institutional identifiers for affiliations using Research Organization Registry data.
REST endpoint for searching and retrieving public metadata from millions of researchers.
Ability for members to update multiple profile items via Batch API calls.
UTF-8 support for non-Latin character sets in names and biographies.
Register for a unique 16-digit ORCID iD on the official registry.
Access the developer sandbox to test API integrations without affecting live data.
Register your organization as a member to obtain API credentials (Client ID and Client Secret).
Implement OAuth 2.0 workflow to request permission from researchers to access/edit their records.
Configure Redirect URIs within the ORCID member portal for secure authentication.
Utilize the Search API to find existing researcher records based on email or metadata.
Perform 'Member API' calls to read or write specific sections (e.g., /works, /employments).
Set up Webhooks to receive real-time notifications when a researcher's record is updated.
Map institutional internal IDs to ORCID iDs within the local database for cross-referencing.
Deploy the production integration and begin synchronizing institutional data with the global registry.
All Set
Ready to go
Verified feedback from other users.
"Universally regarded as the backbone of modern research identity. Praised for its non-profit status and interoperability, though some users find the API documentation dense."
Post questions, share tips, and help other users.

Your UTM Governance Hub for Clean Campaign Data

A preprint server for health sciences.

The leading independent and real-time customer data platform.

Connect your AI agents to the web with real-time search, extraction, and web crawling through a single, secure API.

A large conversational telephone speech corpus for speech recognition and speaker identification research.

STRING is a database of known and predicted protein-protein interactions.

A free and open-source software package for the analysis of brain imaging data sequences.

Complete statistical software for data science with powerful statistics, visualization, data manipulation, and automated reporting in one intuitive platform.