Individual DOI minting for Open Repository: a script for creating a DOI on demand for a DSpace repository

Digital Object Identifiers (DOIs) are a key persistent identifier in the publishing landscape to ensure the discoverability and citation of research products. Minting DOIs can be a time-consuming task for repository librarians. This process can be automated since the metadata for DOIs is already in...

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Bibliographic Details
Published in:Journal of the Medical Library Association Vol. 113; no. 1; pp. 86 - 87
Main Authors: Grynoch, Catherine Tess, Palmer, Lisa
Format: Journal Article
Language:English
Published: United States Medical Library Association 01.01.2025
University Library System, University of Pittsburgh
Subjects:
Automation
Cleaning
DataCite
Digital libraries
Digital Object Identifier
Digital Object Identifiers
Digitization
Dissertations & theses
DSpace
Human error
Humans
Information Storage and Retrieval - methods
Institutional Repositories
Interfaces
Internet
Librarians
Libraries, Medical - organization & administration
Library associations
Medical libraries
Medical schools
Metadata
Methods
Open Repositories
Programming languages
Publishing
Python
Research data management
Scholarly communication
Services
Skills
Software
Virtual Project
Writing
United States
United States > US
Massachusetts
DataCite
DSpace
Open Repositories
Institutional Repositories
Python
ISSN:1536-5050, 1558-9439, 1558-9439
Online Access:Get full text
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Summary:Digital Object Identifiers (DOIs) are a key persistent identifier in the publishing landscape to ensure the discoverability and citation of research products. Minting DOIs can be a time-consuming task for repository librarians. This process can be automated since the metadata for DOIs is already in the repository record and DataCite, a DOI minting organization, and Open Repository, a DSpace repository platform, both have application programming interfaces (APIs). Existing software enables bulk DOI minting. However, the institutional repository at UMass Chan Medical School contains a mixture of original materials that need DOIs (dissertations, reports, data, etc.) and previously published materials that already have DOIs such as journal articles. An institutional repository librarian and her librarian colleague with Python experience embarked on a paired programming project to create a script to mint DOIs on demand in DataCite for individual items in the institution’s Open Repository instance. The pair met for one hour each week to develop and test the script using combined skills in institutional repositories, metadata, DOI minting, coding in Python, APIs, and data cleaning. The project was a great learning opportunity for both librarians to improve their Python coding skills. The new script makes the DOI minting process more efficient, enhances metadata in DataCite, and improves accuracy. Future script enhancements such as automatically updating repository metadata with the new DOI are planned after the repository upgrade to DSpace 7.
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ISSN:1536-5050
1558-9439
1558-9439
DOI:10.5195/jmla.2025.2076