Companies & finance
Talent profiles and researcher data
Find and organize talent data by industry, research field, institution or target list. Connect public biographies, education, appointments, publication DOIs, project outputs and collaboration networks; resolve namesakes and build timelines. Delivery can be a structured talent table or individual research profiles.
Request a sample ↗What to confirm before requesting a quote
- Coverage
- Regions, languages, date range and available record count
- Fields and attachments
- Field definitions, example records and whether original documents or media are required
- Quality and updates
- Deduplication and missing-value rules, sample-based acceptance criteria and update frequency
- Permitted uses
- Internal research, model training, customer-facing products or redistribution
These are project scoping questions, not a statement that every data type includes all coverage or permissions.
01 / WHAT’S INCLUDED
What’s in the dataset
- Person/institution identifiers, education and career timelines
- Skills, research areas and domain tags
- Publication DOIs, projects and verifiable outputs
- Collaboration networks, sources and update dates
02 / USE CASES
Where it can help
- Research-talent sourcing and expert discovery
- Talent mapping and field/institution research
- Resume structuring, talent-database cleanup and linking
03 / DELIVERY
Choose the data you need
Receive Excel, CSV or JSON profiles, field definitions and sources, with individual Word/PDF biographies where needed.
Enrich a supplied list or discover candidates by research area. Agree the date range, identity-matching rules and missing-value handling first.
See a sample format ↗Assess the fit for your project
Resolve the person behind publications, appointments and outputs before building a usable profile.
Can you enrich an existing talent list?
Yes, or discover candidates by field. Agree education, roles, skills, publications, projects, dates and source requirements, then resolve namesakes and gaps.
Can you establish willingness to collaborate?
Public profiles support domain-fit suggestions. Willingness and personal terms require explicit statements or authorized direct material; missing information remains identified.
Sources and usage
Verify identity matches and ownership of outputs. Personal conditions such as willingness to collaborate or salary expectations require explicit statements or authorized direct information.
If you plan to train a model, use the data in a customer-facing product or share it with third parties, mention this when requesting a quote so we can check source permissions and restrictions.
Public access does not establish permission for collection, training or redistribution. Naming a platform does not imply affiliation, agency or endorsement.
Read about data sources and rights ↗Want to review a sample first?
Tell us your project objectives and we’ll help you assess and find a relevant sample.