EPrints OAI-PMH Import Workflow: Auditable Harvesting, Metadata Mapping, Semantic Quality Assurance, and Controlled Import in EPrints Repositories

This technical note presents the EPrints OAI-PMH Import Workflow, a production-informed and auditable methodology for harvesting, selecting, mapping, importing, enriching, and validating scholarly metadata and full-text documents in EPrints repositories. The workflow separates scientific scope, technical harvestability, and rights/licensing eligibility; distinguishes structural import fidelity from semantic and bibliographic quality assurance; and adopts a controlled write cycle based on snapshot → preflight → apply → verify. Particular attention is given to source identity, DOI semantics, collision detection, destination-field semantics, multilingual metadata, structured references, creator handling, controlled classification, field-level provenance, and anomaly taxonomy. Publication PDFs are treated as targeted authoritative evidence when structured source metadata are incomplete, rather than as blind fallback sources. The methodology is derived from production work carried out in 2026 on RM Open Archive and E-LIS, with case studies involving University of Milan journals, Serena/SHARE, En la España Medieval, AIB Studi, and a JLIS.it pilot. The JLIS.it case demonstrates a layered-source strategy combining OAI/OJS core metadata, structured citation_reference bibliography data, and authoritative publication-PDF evidence for multilingual enrichment. Release v0.1.0 is archived in Zenodo under DOI 10.5281/zenodo.22122826; the Concept DOI for all versions is 10.5281/zenodo.22122825. The workflow is publicly available on GitHub and distributed under the MIT License.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-27
DOI
https://doi.org/10.5281/zenodo.22122994
Primary Topic
Academic Publishing and Open Access
Type
article
Field-Weighted Citation Impact
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article

EPrints OAI-PMH Import Workflow: Auditable Harvesting, Metadata Mapping, Semantic Quality Assurance, and Controlled Import in EPrints Repositories

Roberto Delle Donne
Zenodo (CERN European Organization for Nuclear Research)
Academic Publishing and Open Access
article

EPrints OAI-PMH Import Workflow: Auditable Harvesting, Metadata Mapping, Semantic Quality Assurance, and Controlled Import in EPrints Repositories

Roberto Delle Donne
article en

Abstract

This technical note presents the EPrints OAI-PMH Import Workflow, a production-informed and auditable methodology for harvesting, selecting, mapping, importing, enriching, and validating scholarly metadata and full-text documents in EPrints repositories. The workflow separates scientific scope, technical harvestability, and rights/licensing eligibility; distinguishes structural import fidelity from semantic and bibliographic quality assurance; and adopts a controlled write cycle based on snapshot → preflight → apply → verify. Particular attention is given to source identity, DOI semantics, collision detection, destination-field semantics, multilingual metadata, structured references, creator handling, controlled classification, field-level provenance, and anomaly taxonomy. Publication PDFs are treated as targeted authoritative evidence when structured source metadata are incomplete, rather than as blind fallback sources. The methodology is derived from production work carried out in 2026 on RM Open Archive and E-LIS, with case studies involving University of Milan journals, Serena/SHARE, En la España Medieval, AIB Studi, and a JLIS.it pilot. The JLIS.it case demonstrates a layered-source strategy combining OAI/OJS core metadata, structured citation_reference bibliography data, and authoritative publication-PDF evidence for multilingual enrichment. Release v0.1.0 is archived in Zenodo under DOI 10.5281/zenodo.22122826; the Concept DOI for all versions is 10.5281/zenodo.22122825. The workflow is publicly available on GitHub and distributed under the MIT License.

Zenodo (CERN European Organization for Nuclear Research)
University of Naples Federico II (IT)
Openalex Percentile: Top 3%
Academic Publishing and Open Access
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