Why duplicate research records happen — and how to reduce them

A scholarly platform rarely receives every record from one perfect source. The same article may arrive from a DOI registry, an open-access index, a citation source and a researcher import. Each provider may represent the work slightly differently. One source may include a full abstract while another supplies only a title and DOI.

If every incoming row is displayed independently, visitors see repeated publications and inflated totals. The solution is to create a canonical identity for the work and retain provider-specific evidence behind that canonical record.

DOIs can appear as plain identifiers, full URLs, upper-case strings or values with extra whitespace. A platform should normalise these forms before comparing them. Once normalised, two records that resolve to the same DOI can be treated as strong duplicate candidates even when other metadata differs.

Not every work has a DOI, so title, year, authors and venue still matter. Those fields require more caution because legitimate works can have similar titles, and conference or preprint versions may intentionally differ from later journal versions.

The best long-term fix is reconciliation in the data layer, but public pages should also defend against duplicates. ResearchHub therefore applies presentation-level deduplication in discovery surfaces so that a temporary ingestion duplicate does not appear twice on the home page while deeper reconciliation is still pending.

This layered approach is important for user trust. Data cleaning can be a continuous process, but visitors should not be forced to experience every intermediate data-quality problem.

Removing a duplicate from public presentation does not always mean deleting its source evidence. Provider records can remain useful for provenance, conflict resolution or later enrichment. The platform can merge or suppress duplicate public identities while retaining the evidence needed to explain how the canonical record was formed.

That balance supports both cleaner discovery and more accountable scholarly metadata.