TY - JOUR
T1 - The Resource Identification Initiative
T2 - A cultural shift in publishing
AU - Resource Identification Initiative Members
AU - Bandrowski, Anita
AU - Brush, Matthew
AU - Grethe, Jeffery S.
AU - Haendel, Melissa A.
AU - Kennedy, David N.
AU - Hill, Sean
AU - Hof, Patrick R.
AU - Martone, Maryann E.
AU - Pols, Maaike
AU - Tan, Serena
AU - Washington, Nicole
AU - Zudilova-Seinstra, Elena
AU - Vasilevsky, Nicole
AU - Gonzalez-Beltran, Alejandra
AU - Garcia-Castro, Alex
AU - Kenall, Amye
AU - Kessell, Andreas
AU - Chalmers, Andrew
AU - de Waard, Anita
AU - Booty, Christian
AU - Mietchen, Daniel
AU - Kavanagh, David
AU - Kennedy, David
AU - Iorns, Elizabeth
AU - van Hasselt, Felisa
AU - Murphy, Fiona
AU - Smith, Jennifer
AU - Deck, John
AU - Schneider, Juliane
AU - Reiser, Leonore
AU - Sandström, Malin
AU - Roelandse, Martijn
AU - Shimoyama, Mary
AU - Martone, Maryann
AU - Sullivan, Matt
AU - Giampoala, Matthew
AU - Haendel, Melissa
AU - Lauruhn, Michael
AU - Gaudet, Pascale
AU - von Glasow, Patrik
AU - Fernandes, Pedro
AU - Murray-Rust, Peter
AU - McQuilton, Peter
AU - Nigam, Rajni
AU - Champieux, Robin
AU - Crook, Sharon
AU - Shreejoy, Shreejoy
AU - Calin, Simina
AU - Hagstrom, Stephanie
AU - Richard, Stephen
PY - 2015/5/29
Y1 - 2015/5/29
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84942100983&partnerID=8YFLogxK
U2 - 10.12688/f1000research.6555.1
DO - 10.12688/f1000research.6555.1
M3 - Article
SN - 2046-1402
VL - 4
JO - F1000Research
JF - F1000Research
M1 - 134
ER -