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In this article, we focus on the importance of open research information asthe foundation for transparent and responsible research assessment anddiscovery of research outputs. We introduce work in which we support the openresearch information commons by enabling, in particular, independent and smallOpen Access journals to provide metadata to several open data hubs (OpenCitations, Wikidata, Open Research Knowledge Graph). In this context, wepresent The OPTIMETA Way, a means to integrate metadata collection, enrichment,and distribution in an effective and quality-ensured way that enables uptakeeven amongst small scholar-led publication venues. We have designed animplementation strategy for this approach in the form of two plugins for themost widely used journal publishing software, Open Journal Systems (OJS). Theseplugins collect, enrich, and automatically deliver citation metadata andspatio-temporal metadata for articles. Our contribution to research assessmentand discovery with linked open bibliographic data is threefold. First, weenlarge the open research information data pool by advocating for thecollection of enriched, user-validated metadata at the time of publicationthrough open APIs. Second, we integrate data platforms and journals currentlynot included in the standard scientometric practices because of their languageor lack of support from big publishing houses. Third, we allow new use casesbased on location and temporal metadata that go beyond commonly used discoveryfeatures, specifically, the assessment of research activities using spatialcoverage and new transdisciplinary connections between research outputs.

Enriching the scholarly metadata commons with citation metadata and  spatio-temporal metadata to support responsible research assessment and  research discovery