Towards a <scp>DOI</scp> ‐First Referencing Model: Opportunities, Limitations and Implications for Scholarly Publishing

Summary This article proposes a DOI‐first referencing model as a simplified and identifier‐centered approach to scholarly citation. It discusses the opportunities of DOI‐based referencing for improving efficiency, interoperability, and integration with digital research infrastructure while acknowledging disciplinary diversity and identifier limitations. The paper argues that prioritizing persistent identifiers can modernize citation practices in an increasingly digital and AI‐assisted scholarly publishing environment.

Authors

Institutions

Publication Details

Journal
Learned Publishing
Published
2026-03-15
DOI
https://doi.org/10.1002/leap.2052
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards a DOI ‐First Referencing Model: Opportunities, Limitations and Implications for Scholarly Publishing

Mazhar Mushtaq
Learned Publishing
Research Data Management Practices
article

Towards a DOI ‐First Referencing Model: Opportunities, Limitations and Implications for Scholarly Publishing

Mazhar Mushtaq
article en

Abstract

Summary This article proposes a DOI‐first referencing model as a simplified and identifier‐centered approach to scholarly citation. It discusses the opportunities of DOI‐based referencing for improving efficiency, interoperability, and integration with digital research infrastructure while acknowledging disciplinary diversity and identifier limitations. The paper argues that prioritizing persistent identifiers can modernize citation practices in an increasingly digital and AI‐assisted scholarly publishing environment.

Learned PublishingVol. 39(2)
Sulaiman Al Rajhi Colleges (SA)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.