I presented a short spatial analysis of Crossref member metrics in the Workshop on Open Citations & Open Scholarly Metadata 2025.
Citation
@online{montilla2025,
author = {Montilla, Luis},
title = {Mapping {Metadata} {Inequities:} {Regional} {Disparities} in
{Crossref} {Scholarly} {Records}},
date = {2025-05-28},
url = {https://www.luismmontilla.com/events/bologna2025/},
langid = {en},
abstract = {The Crossref REST API provides the global community with
access to over 165 million scholarly metadata records, serving as a
foundational resource for discovery, citation, integrity assessment
and provenance tracking (Hendricks et al. 2020). However,
disparities in the completeness of this metadata can pose
significant challenges to equitable access and utilization of
scholarly knowledge. The diversity of barriers to metadata
enrichment is complex and multifaceted, including but not limited to
lack of institutional infrastructure, automation challenges, lack of
awareness and/or training, language barriers or low availability of
staff and resources to perform these tasks. Crossref schemas allow
members to deposit rich metadata beyond basic bibliographic
elements, namely abstracts, list of references, author
identification via ORCIDs, institutional affiliation and also
identification via ROR IDs, funding information, including funder
and award IDs, journal update policies via the Crossmark service,
license information, all of which contribute to the realize an open
interconnected scholarly knowledge network that we aspire to as part
of the Research Nexus. The regional differences in terms of journals
included in the Crossref overall data have been previously described
(Asubiaro \& Onaolapo, 2023). Here, instead, we will explore
regional disparities patterns in metadata completeness, focusing on
highly relevant metadata fields such as references, author
affiliations, ORCIDs, and funding information}
}