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Assessing the uptake of persistent identifiers by research infrastructure users
Significant progress has been made in the past few years in the development of recommendations, policies, and procedures for creating and promoting citations to data sets, software, and other research infrastructures like computing facilities. Open questions remain, however, about the extent to whic...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386254/ https://www.ncbi.nlm.nih.gov/pubmed/28394907 http://dx.doi.org/10.1371/journal.pone.0175418 |
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author | Mayernik, Matthew S. Maull, Keith E. |
author_facet | Mayernik, Matthew S. Maull, Keith E. |
author_sort | Mayernik, Matthew S. |
collection | PubMed |
description | Significant progress has been made in the past few years in the development of recommendations, policies, and procedures for creating and promoting citations to data sets, software, and other research infrastructures like computing facilities. Open questions remain, however, about the extent to which referencing practices of authors of scholarly publications are changing in ways desired by these initiatives. This paper uses four focused case studies to evaluate whether research infrastructures are being increasingly identified and referenced in the research literature via persistent citable identifiers. The findings of the case studies show that references to such resources are increasing, but that the patterns of these increases are variable. In addition, the study suggests that citation practices for data sets may change more slowly than citation practices for software and research facilities, due to the inertia of existing practices for referencing the use of data. Similarly, existing practices for acknowledging computing support may slow the adoption of formal citations for computing resources. |
format | Online Article Text |
id | pubmed-5386254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-53862542017-05-03 Assessing the uptake of persistent identifiers by research infrastructure users Mayernik, Matthew S. Maull, Keith E. PLoS One Research Article Significant progress has been made in the past few years in the development of recommendations, policies, and procedures for creating and promoting citations to data sets, software, and other research infrastructures like computing facilities. Open questions remain, however, about the extent to which referencing practices of authors of scholarly publications are changing in ways desired by these initiatives. This paper uses four focused case studies to evaluate whether research infrastructures are being increasingly identified and referenced in the research literature via persistent citable identifiers. The findings of the case studies show that references to such resources are increasing, but that the patterns of these increases are variable. In addition, the study suggests that citation practices for data sets may change more slowly than citation practices for software and research facilities, due to the inertia of existing practices for referencing the use of data. Similarly, existing practices for acknowledging computing support may slow the adoption of formal citations for computing resources. Public Library of Science 2017-04-10 /pmc/articles/PMC5386254/ /pubmed/28394907 http://dx.doi.org/10.1371/journal.pone.0175418 Text en © 2017 Mayernik, Maull http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Mayernik, Matthew S. Maull, Keith E. Assessing the uptake of persistent identifiers by research infrastructure users |
title | Assessing the uptake of persistent identifiers by research infrastructure users |
title_full | Assessing the uptake of persistent identifiers by research infrastructure users |
title_fullStr | Assessing the uptake of persistent identifiers by research infrastructure users |
title_full_unstemmed | Assessing the uptake of persistent identifiers by research infrastructure users |
title_short | Assessing the uptake of persistent identifiers by research infrastructure users |
title_sort | assessing the uptake of persistent identifiers by research infrastructure users |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386254/ https://www.ncbi.nlm.nih.gov/pubmed/28394907 http://dx.doi.org/10.1371/journal.pone.0175418 |
work_keys_str_mv | AT mayernikmatthews assessingtheuptakeofpersistentidentifiersbyresearchinfrastructureusers AT maullkeithe assessingtheuptakeofpersistentidentifiersbyresearchinfrastructureusers |