UMMS Affiliation

Department of Psychiatry

Date

11-19-2015

Document Type

Article

Disciplines

Scholarly Publishing

Abstract

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.

Rights and Permissions

Copyright : © 2015 Bandrowski A et al. Citation: Version 2. F1000Res. 2015 May 29 [revised 2015 Nov 19];4:134. doi: 10.12688/f1000research.6555.2. eCollection 2015. Link to article on publisher's site

DOI of Published Version

10.12688/f1000research.6555.2

Comments

This article is being simultaneously published by Brain and Behavior [10.1002/brb3.417], F1000 Research [10.12688/f1000research.6555.2], and Neuroinformatics [10.1007/s12021-015-9284-3].

Related Resources

Link to Article in PubMed

Keywords

Multi-centre initiative, Post-pilot data, Pre-pilot data, Publishing, Resource identifiers, Research reproducibility

Journal Title

F1000Research

PubMed ID

26594330

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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