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The Resource Identification Initiative: a cultural shift in publishing.

Bandrowski A, Brush M, Grethe JS, Haendel MA, Kennedy DN, Hill S, Hof PR, Martone ME, Pols M, Tan SC, Washington N, Zudilova-Seinstra E, Vasilevsky N, RINL Resource Identification Initiati - Brain Behav (2015)

Bottom Line: Here, we present an overview of the pilot project and its outcomes to date.We show that authors are able to identify resources and are supportive of the goals of the project.Identifiability of the resources post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on identifiability of research resources.

View Article: PubMed Central - PubMed

Affiliation: Center for Research in Biological Systems UCSD 9500 Gillman Dr.#0446 la Jolla California 92093-0446.

ABSTRACT
A central tenet in support of research reproducibility is the ability to uniquely identify research resources, that is, reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to identify the exact resources that are reported or to answer basic questions such as "How did other studies use 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 scientific 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 (i.e., software and databases). RRIDs are assigned by an authoritative database, for example, a model organism database 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 ( http://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 with RRIDs appearing in 62 different journals to date. Here, we present an overview of the pilot project and its outcomes to date. We show that authors are able to identify resources and are supportive of the goals of the project. Identifiability of the resources post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on identifiability of research resources.

No MeSH data available.


RRIDs found in the published literature. (A) Google Scholar result for the anti‐tyrosine hydroxylase antibody RRID (9/2014; http://scholar.google.com/scholar?q=RRID:AB_90755). (B) The most frequently reported RRIDs in the first 100 papers, by number of papers using the identifier. All data is available in Supplementary Table and all identifiers can be accessed in Google Scholar (see also Table S1).
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brb3417-fig-0002: RRIDs found in the published literature. (A) Google Scholar result for the anti‐tyrosine hydroxylase antibody RRID (9/2014; http://scholar.google.com/scholar?q=RRID:AB_90755). (B) The most frequently reported RRIDs in the first 100 papers, by number of papers using the identifier. All data is available in Supplementary Table and all identifiers can be accessed in Google Scholar (see also Table S1).

Mentions: The first RRID's began appearing in the literature in April of 2014. Although the first paper was identified through PubMed, the majority of papers were found via Google Scholar by searching for “RRID”. Google Scholar, unlike PubMed, appears to search the full text of articles, as it returns snippets of text from the materials and methods containing the RRID's (e.g., Fig. 2). A search in PubMed returns very few papers, indicating that most journals were not including the RRIDs outside of the paywall. As these papers start to appear in PubMed Central, where full text search is possible, we anticipate that more papers utilizing RRIDs will be identifiable through the National Library of Medicine. Google Scholar possesses the advantage in that it obtains papers without an embargo period and makes them available for search immediately at the time of publication. In this manuscript, we therefore present analysis based upon Google Scholar.


The Resource Identification Initiative: a cultural shift in publishing.

Bandrowski A, Brush M, Grethe JS, Haendel MA, Kennedy DN, Hill S, Hof PR, Martone ME, Pols M, Tan SC, Washington N, Zudilova-Seinstra E, Vasilevsky N, RINL Resource Identification Initiati - Brain Behav (2015)

RRIDs found in the published literature. (A) Google Scholar result for the anti‐tyrosine hydroxylase antibody RRID (9/2014; http://scholar.google.com/scholar?q=RRID:AB_90755). (B) The most frequently reported RRIDs in the first 100 papers, by number of papers using the identifier. All data is available in Supplementary Table and all identifiers can be accessed in Google Scholar (see also Table S1).
© Copyright Policy - creativeCommonsBy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4834942&req=5

brb3417-fig-0002: RRIDs found in the published literature. (A) Google Scholar result for the anti‐tyrosine hydroxylase antibody RRID (9/2014; http://scholar.google.com/scholar?q=RRID:AB_90755). (B) The most frequently reported RRIDs in the first 100 papers, by number of papers using the identifier. All data is available in Supplementary Table and all identifiers can be accessed in Google Scholar (see also Table S1).
Mentions: The first RRID's began appearing in the literature in April of 2014. Although the first paper was identified through PubMed, the majority of papers were found via Google Scholar by searching for “RRID”. Google Scholar, unlike PubMed, appears to search the full text of articles, as it returns snippets of text from the materials and methods containing the RRID's (e.g., Fig. 2). A search in PubMed returns very few papers, indicating that most journals were not including the RRIDs outside of the paywall. As these papers start to appear in PubMed Central, where full text search is possible, we anticipate that more papers utilizing RRIDs will be identifiable through the National Library of Medicine. Google Scholar possesses the advantage in that it obtains papers without an embargo period and makes them available for search immediately at the time of publication. In this manuscript, we therefore present analysis based upon Google Scholar.

Bottom Line: Here, we present an overview of the pilot project and its outcomes to date.We show that authors are able to identify resources and are supportive of the goals of the project.Identifiability of the resources post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on identifiability of research resources.

View Article: PubMed Central - PubMed

Affiliation: Center for Research in Biological Systems UCSD 9500 Gillman Dr.#0446 la Jolla California 92093-0446.

ABSTRACT
A central tenet in support of research reproducibility is the ability to uniquely identify research resources, that is, reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to identify the exact resources that are reported or to answer basic questions such as "How did other studies use 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 scientific 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 (i.e., software and databases). RRIDs are assigned by an authoritative database, for example, a model organism database 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 ( http://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 with RRIDs appearing in 62 different journals to date. Here, we present an overview of the pilot project and its outcomes to date. We show that authors are able to identify resources and are supportive of the goals of the project. Identifiability of the resources post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on identifiability of research resources.

No MeSH data available.