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A decade of GigaScience: What can be learned from half a million RRIDs in the scientific literature?
Research resource identifiers (RRIDs) are persistent unique identifiers for scientific resources used to conduct studies such as reagents and tools. Inclusion of these identifiers into the scientific literature has been demonstrated to improve the reproducibility of papers because resources, like an...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197678/ https://www.ncbi.nlm.nih.gov/pubmed/35701373 http://dx.doi.org/10.1093/gigascience/giac058 |
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author | Bandrowski, Anita |
author_facet | Bandrowski, Anita |
author_sort | Bandrowski, Anita |
collection | PubMed |
description | Research resource identifiers (RRIDs) are persistent unique identifiers for scientific resources used to conduct studies such as reagents and tools. Inclusion of these identifiers into the scientific literature has been demonstrated to improve the reproducibility of papers because resources, like antibodies, are easier to find, making methods easier to reproduce. RRIDs also dramatically reduce the use of problematic resources, such as contaminated cell lines. The addition of RRIDs into a manuscript means that authors have to look up information that they may have previously omitted or confront information about problems that may have been reported about their resources. The use of RRIDs is primarily driven by champion journals, such as GigaScience and others. Although still nascent, this practice lays important groundwork for citation types that can cover non-traditional scholarly output, such as software tools and key reagents; giving authors of various types of tools scholarly credit for their contributions. |
format | Online Article Text |
id | pubmed-9197678 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91976782022-06-15 A decade of GigaScience: What can be learned from half a million RRIDs in the scientific literature? Bandrowski, Anita Gigascience Commentary Research resource identifiers (RRIDs) are persistent unique identifiers for scientific resources used to conduct studies such as reagents and tools. Inclusion of these identifiers into the scientific literature has been demonstrated to improve the reproducibility of papers because resources, like antibodies, are easier to find, making methods easier to reproduce. RRIDs also dramatically reduce the use of problematic resources, such as contaminated cell lines. The addition of RRIDs into a manuscript means that authors have to look up information that they may have previously omitted or confront information about problems that may have been reported about their resources. The use of RRIDs is primarily driven by champion journals, such as GigaScience and others. Although still nascent, this practice lays important groundwork for citation types that can cover non-traditional scholarly output, such as software tools and key reagents; giving authors of various types of tools scholarly credit for their contributions. Oxford University Press 2022-06-14 /pmc/articles/PMC9197678/ /pubmed/35701373 http://dx.doi.org/10.1093/gigascience/giac058 Text en © The Author(s) 2022. Published by Oxford University Press GigaScience. 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 | Commentary Bandrowski, Anita A decade of GigaScience: What can be learned from half a million RRIDs in the scientific literature? |
title | A decade of GigaScience: What can be learned from half a million RRIDs in the scientific literature? |
title_full | A decade of GigaScience: What can be learned from half a million RRIDs in the scientific literature? |
title_fullStr | A decade of GigaScience: What can be learned from half a million RRIDs in the scientific literature? |
title_full_unstemmed | A decade of GigaScience: What can be learned from half a million RRIDs in the scientific literature? |
title_short | A decade of GigaScience: What can be learned from half a million RRIDs in the scientific literature? |
title_sort | decade of gigascience: what can be learned from half a million rrids in the scientific literature? |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197678/ https://www.ncbi.nlm.nih.gov/pubmed/35701373 http://dx.doi.org/10.1093/gigascience/giac058 |
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