Notes on the data quality of bibliographic records from the MEDLINE database

The US National Library of Medicine has created and maintained the PubMed® database, a collection of over 33.8 million records that contain citations and abstracts from the biomedical and life sciences literature. This database is an important resource for researchers and information service provide...

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Detalles Bibliográficos
Autores principales: Bramley, Robin, Howe, Stephen, Marmanis, Haralambos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630407/
https://www.ncbi.nlm.nih.gov/pubmed/37935584
http://dx.doi.org/10.1093/database/baad070
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author Bramley, Robin
Howe, Stephen
Marmanis, Haralambos
author_facet Bramley, Robin
Howe, Stephen
Marmanis, Haralambos
author_sort Bramley, Robin
collection PubMed
description The US National Library of Medicine has created and maintained the PubMed® database, a collection of over 33.8 million records that contain citations and abstracts from the biomedical and life sciences literature. This database is an important resource for researchers and information service providers alike. As part of our work related to the creation of an author graph for coronaviruses, we encountered several data quality issues with records from a curated subset of the PubMed database called MEDLINE. We provide a data quality assessment for records selected from the MEDLINE database and report on several issues ranging from parsing issues (e.g. character encodings and schema definition weaknesses) to low scores for identifiers against several data quality metrics (e.g. completeness, validity and uniqueness). Database URL  https://pubmed.ncbi.nlm.nih.gov
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spelling pubmed-106304072023-11-04 Notes on the data quality of bibliographic records from the MEDLINE database Bramley, Robin Howe, Stephen Marmanis, Haralambos Database (Oxford) Original Article The US National Library of Medicine has created and maintained the PubMed® database, a collection of over 33.8 million records that contain citations and abstracts from the biomedical and life sciences literature. This database is an important resource for researchers and information service providers alike. As part of our work related to the creation of an author graph for coronaviruses, we encountered several data quality issues with records from a curated subset of the PubMed database called MEDLINE. We provide a data quality assessment for records selected from the MEDLINE database and report on several issues ranging from parsing issues (e.g. character encodings and schema definition weaknesses) to low scores for identifiers against several data quality metrics (e.g. completeness, validity and uniqueness). Database URL  https://pubmed.ncbi.nlm.nih.gov Oxford University Press 2023-11-04 /pmc/articles/PMC10630407/ /pubmed/37935584 http://dx.doi.org/10.1093/database/baad070 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Bramley, Robin
Howe, Stephen
Marmanis, Haralambos
Notes on the data quality of bibliographic records from the MEDLINE database
title Notes on the data quality of bibliographic records from the MEDLINE database
title_full Notes on the data quality of bibliographic records from the MEDLINE database
title_fullStr Notes on the data quality of bibliographic records from the MEDLINE database
title_full_unstemmed Notes on the data quality of bibliographic records from the MEDLINE database
title_short Notes on the data quality of bibliographic records from the MEDLINE database
title_sort notes on the data quality of bibliographic records from the medline database
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630407/
https://www.ncbi.nlm.nih.gov/pubmed/37935584
http://dx.doi.org/10.1093/database/baad070
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