OpenAlex scholarly works
OurResearch (OpenAlex)
In a RepVector build, this dataset supplies published studies, trials and evidence relevant to a market.
What this dataset is
Full-text and metadata search across OpenAlex's index of scholarly works — journal articles, preprints, books and datasets across all fields, not just biomedicine. Good for cross-domain research context (technology, business, social science) that PubMed does not cover. It is published by OurResearch (OpenAlex) and can be queried at nation level, refreshed continuous. Each row is a published record or document, used as citable evidence behind a claim.
Why it is useful
- Identifies institutions with active research programmes worth a specialised approach.
- Backs clinical claims with citable published work rather than marketing copy.
Questions it helps answer
- Which organisations here run relevant trials or research?
- What published evidence supports the conversation I want to have?
How different verticals use it
RepVector is vertical-agnostic: this dataset is selected by what your question asks for, not by industry. These are common ways teams put it to work.
Finds investigators, trials and publication activity worth a scientific call.
Spots emerging methods and the institutions funding them.
Measures research intensity at institutions in the territory.
Tracks applied research relevant to product development.
How RepVector uses it
- You describe a market in plain language. The geography resolver turns the place you named into the exact identifiers this dataset needs — city to county to state, plus DMA where relevant — so a query at nation runs without you knowing any codes.
- The planner selects OpenAlex scholarly works only when your question matches what it actually reports. It is never included to pad a result.
- Returned rows are normalised into the shared metric layer, so figures from OurResearch (OpenAlex) line up with every other source in the same dashboard instead of sitting in an isolated table.
- Quality checks score coverage and recency. If OurResearch (OpenAlex) suppresses or omits a value for your geography, the gap is reported as a gap — nothing is estimated or filled in.
- The result renders as charts, KPIs and, where the rows are entities, prioritised targets you can export to PDF, Excel, CSV or JSON.
What it does not tell you
- Publication and registration lag real activity, and coverage skews to larger institutions.
How it fits with the rest of the catalog
Research activity marks sophisticated accounts; registries tell you who inside them to approach. RepVector queries every selected dataset against the same resolved geography and time window, then normalises the results into one metric layer so they can be charted side by side. These datasets are the most common companions to OpenAlex scholarly works:
Other research datasets
Common questions
What does OpenAlex scholarly works contain?
Full-text and metadata search across OpenAlex's index of scholarly works — journal articles, preprints, books and datasets across all fields, not just biomedicine. Good for cross-domain research context (technology, business, social science) that PubMed does not cover. It is published by OurResearch (OpenAlex) at nation grain.
How often is it refreshed?
OurResearch (OpenAlex) publishes on a continuous cycle. RepVector re-reads the source on that cadence and keeps every prior capture, so you can see what changed.
Do I need an account to use it?
No. Browsing the catalog and the free lookup tools needs no account. Running a full market build across every county in a territory is the paid product.
Build the list for one county and see whether the names are right.
Ask in plain language. RepVector finds the universe, enriches each target from its own website, scores it 0–100, and hands you a ranked call list with phones, addresses and named contacts.
3 free runs — no card required.