The Resource Identification Initiative: A cultural shift in publishing [v1; ref status: indexed, http://f1000r.es/5fj]
A central tenet in support of research reproducibility is the ability to uniquely identify research resources, i.e., reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to allow humans and algorithms to ide...
Main Authors: | , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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F1000 Research Ltd
2015-05-01
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Series: | F1000Research |
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Online Access: | http://f1000research.com/articles/4-134/v1 |
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author | Anita Bandrowski Matthew Brush Jeffery S. Grethe Melissa A. Haendel David N. Kennedy Sean Hill Patrick R. Hof Maryann E. Martone Maaike Pols Serena Tan Nicole Washington Elena Zudilova-Seinstra Nicole Vasilevsky Resource Identification Initiative Members are listed here: https://www.force11.org/node/4463/members |
author_facet | Anita Bandrowski Matthew Brush Jeffery S. Grethe Melissa A. Haendel David N. Kennedy Sean Hill Patrick R. Hof Maryann E. Martone Maaike Pols Serena Tan Nicole Washington Elena Zudilova-Seinstra Nicole Vasilevsky Resource Identification Initiative Members are listed here: https://www.force11.org/node/4463/members |
author_sort | Anita Bandrowski |
collection | DOAJ |
description | A central tenet in support of research reproducibility is the ability to uniquely identify research resources, i.e., reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to allow humans and algorithms to identify the exact resources that are reported or answer basic questions such as “What other studies used resource X?” To address this issue, the Resource Identification Initiative was launched as a pilot project to improve the reporting standards for research resources in the methods sections of papers and thereby improve identifiability and reproducibility. The pilot engaged over 25 biomedical journal editors from most major publishers, as well as scientists and funding officials. Authors were asked to include Research Resource Identifiers (RRIDs) in their manuscripts prior to publication for three resource types: antibodies, model organisms, and tools (including software and databases). RRIDs represent accession numbers assigned by an authoritative database, e.g., the model organism databases, for each type of resource. To make it easier for authors to obtain RRIDs, resources were aggregated from the appropriate databases and their RRIDs made available in a central web portal (www.scicrunch.org/resources). RRIDs meet three key criteria: they are machine readable, free to generate and access, and are consistent across publishers and journals. The pilot was launched in February of 2014 and over 300 papers have appeared that report RRIDs. The number of journals participating has expanded from the original 25 to more than 40. Here, we present an overview of the pilot project and its outcomes to date. We show that authors are generally accurate in performing the task of identifying resources and supportive of the goals of the project. We also show that identifiability of the resources pre- and post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on reproducibility relating to research resources. |
first_indexed | 2024-12-10T23:58:54Z |
format | Article |
id | doaj.art-2af489d9790f43da89e3cd8cc5102baf |
institution | Directory Open Access Journal |
issn | 2046-1402 |
language | English |
last_indexed | 2024-12-10T23:58:54Z |
publishDate | 2015-05-01 |
publisher | F1000 Research Ltd |
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series | F1000Research |
spelling | doaj.art-2af489d9790f43da89e3cd8cc5102baf2022-12-22T01:28:31ZengF1000 Research LtdF1000Research2046-14022015-05-01410.12688/f1000research.6555.17039The Resource Identification Initiative: A cultural shift in publishing [v1; ref status: indexed, http://f1000r.es/5fj]Anita Bandrowski0Matthew Brush1Jeffery S. Grethe2Melissa A. Haendel3David N. Kennedy4Sean Hill5Patrick R. Hof6Maryann E. Martone7Maaike Pols8Serena Tan9Nicole Washington10Elena Zudilova-Seinstra11Nicole Vasilevsky12Resource Identification Initiative Members are listed here: https://www.force11.org/node/4463/membersCenter for Research in Biological Systems, UCSD, la Jolla, CA, 92093, USADepartment of Medical Informatics & Clinical Epidemiology, OHSU, Portland, Oregon, 97239, USACenter for Research in Biological Systems, UCSD, la Jolla, CA, 92093, USADepartment of Medical Informatics & Clinical Epidemiology, OHSU, Portland, Oregon, 97239, USADepartment of Psychiatry, University of Massachusetts Medical School, Worcester, MA, 01605, USAKarolinska Institutet, Stockholm, 171 77, SwedenLeon and Norma Hess Center for Science and Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USACenter for Research in Biological Systems, UCSD, la Jolla, CA, 92093, USAScientific Outreach, Faculty of 1000 Ltd, London, W1T 4LB, UKJohn Wiley and Sons, Hoboken, NJ, 07030, USALawrence Berkeley National Laboratory, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USAElsevier, Amsterdam, 1043 NX, NetherlandsDepartment of Medical Informatics & Clinical Epidemiology, OHSU, Portland, Oregon, 97239, USAA central tenet in support of research reproducibility is the ability to uniquely identify research resources, i.e., reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to allow humans and algorithms to identify the exact resources that are reported or answer basic questions such as “What other studies used resource X?” To address this issue, the Resource Identification Initiative was launched as a pilot project to improve the reporting standards for research resources in the methods sections of papers and thereby improve identifiability and reproducibility. The pilot engaged over 25 biomedical journal editors from most major publishers, as well as scientists and funding officials. Authors were asked to include Research Resource Identifiers (RRIDs) in their manuscripts prior to publication for three resource types: antibodies, model organisms, and tools (including software and databases). RRIDs represent accession numbers assigned by an authoritative database, e.g., the model organism databases, for each type of resource. To make it easier for authors to obtain RRIDs, resources were aggregated from the appropriate databases and their RRIDs made available in a central web portal (www.scicrunch.org/resources). RRIDs meet three key criteria: they are machine readable, free to generate and access, and are consistent across publishers and journals. The pilot was launched in February of 2014 and over 300 papers have appeared that report RRIDs. The number of journals participating has expanded from the original 25 to more than 40. Here, we present an overview of the pilot project and its outcomes to date. We show that authors are generally accurate in performing the task of identifying resources and supportive of the goals of the project. We also show that identifiability of the resources pre- and post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on reproducibility relating to research resources.http://f1000research.com/articles/4-134/v1Data Sharing |
spellingShingle | Anita Bandrowski Matthew Brush Jeffery S. Grethe Melissa A. Haendel David N. Kennedy Sean Hill Patrick R. Hof Maryann E. Martone Maaike Pols Serena Tan Nicole Washington Elena Zudilova-Seinstra Nicole Vasilevsky Resource Identification Initiative Members are listed here: https://www.force11.org/node/4463/members The Resource Identification Initiative: A cultural shift in publishing [v1; ref status: indexed, http://f1000r.es/5fj] F1000Research Data Sharing |
title | The Resource Identification Initiative: A cultural shift in publishing [v1; ref status: indexed, http://f1000r.es/5fj] |
title_full | The Resource Identification Initiative: A cultural shift in publishing [v1; ref status: indexed, http://f1000r.es/5fj] |
title_fullStr | The Resource Identification Initiative: A cultural shift in publishing [v1; ref status: indexed, http://f1000r.es/5fj] |
title_full_unstemmed | The Resource Identification Initiative: A cultural shift in publishing [v1; ref status: indexed, http://f1000r.es/5fj] |
title_short | The Resource Identification Initiative: A cultural shift in publishing [v1; ref status: indexed, http://f1000r.es/5fj] |
title_sort | resource identification initiative a cultural shift in publishing v1 ref status indexed http f1000r es 5fj |
topic | Data Sharing |
url | http://f1000research.com/articles/4-134/v1 |
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