For years, keeping a repository current has depended on manual submission by researchers or time-consuming data entry by administrative staff. DSpace Data Harvesters by PCG Academia change this fundamentally. Instead of waiting for publications to arrive, the harvester connects to major global scholarly databases – Web of Science, Scopus, OpenAlex and Crossref – and pulls in records automatically. Institutional publications are matched using two complementary methods: the institution’s ROR identifier, and the affiliation information declared in the source database. This two-track approach ensures that no publication is missed. Every harvested record enters a review workflow before publication, so institutions gain both automation and full editorial control.

Whether seeding a new repository from scratch or keeping an established one continuously up to date, Data Harvesters turn repository completeness from an ongoing effort into a natural outcome of how the system works.