Imagen de Portada

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

Guardado en:
Publicado en:Journal of the Medical Library Association vol. 113, no. 1 (Jan 2025), p. 86
Autor principal: Grynoch, Tess
Otros Autores: Palmer, Lisa A, AHIP
Publicado:
University Library System, University of Pittsburgh
Materias:
DataCite University of Massachusetts-Amherst
United States > US
Massachusetts
Digital Object Identifier
Software
Internet
Metadata
Writing
Medical libraries
Librarians
Automation
Human error
Scholarly communication
Medical schools
Library associations
Institutional repositories
Research data management
Interfaces
Skills
Cleaning
Dissertations & theses
Publishing
Programming languages
Acceso en línea:Citation/Abstract
Full Text
Full Text - PDF
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Resumen: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 DOls 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.
ISSN:1536-5050
1558-9439
0025-7338
DOI:10.5195/jmla.2025.2076
Fuente:Healthcare Administration Database