Evidence map›Paper›PMID 26599696›Full record

ArticleThe Journal of comparative neurology2016

The Resource Identification Initiative: A Cultural Shift in Publishing.

Anita Bandrowski, Matthew Brush, Jeffery S Grethe, Melissa A Haendel, David N Kennedy, Sean Hill, Patrick R Hof, Maryann E Martone, Maaike Pols, Serena C Tan and 3 more

Abstract read
In one paragraph

Article in The Journal of comparative neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Minimal Information about MHC Multimers (MIAMM).Journal of immunology (Baltimore, Md. : 1950) · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Reproducibility in Computational Neuroscience Models and Simulations.IEEE transactions on bio-medical engineering · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Anita BandrowskiCenter for Research in Biological Systems, UCSD, La Jolla, California, USA.
Matthew BrushOregon Health & Science University (OHSU) Library, Department of Medical Informatics & Clinical Epidemiology, Portland, Oregon, USA.
Jeffery S GretheCenter for Research in Biological Systems, UCSD, La Jolla, California, USA.
Melissa A HaendelOregon Health & Science University (OHSU) Library, Department of Medical Informatics & Clinical Epidemiology, Portland, Oregon, USA.
David N KennedyUniversity of Massachusetts Medical School, Department of Psychiatry, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Sean HillKarolinska Institutet, Stockholm, Sweden.
Patrick R HofFishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Maryann E MartoneCenter for Research in Biological Systems, UCSD, La Jolla, California, USA.
Maaike PolsScientific Outreach Executive, London, UK.
Serena C TanJohn Wiley & Sons, Hoboken, New Jersey, USA.
Nicole WashingtonLawrence Berkeley National Laboratory, Berkeley, California, USA.
Elena Zudilova-SeinstraElsevier, Amsterdam, the Netherlands.
Nicole VasilevskyOregon Health & Science University (OHSU) Library, Department of Medical Informatics & Clinical Epidemiology, Portland, Oregon, USA.

Funding

NIDDK Network Coordinating UnitU24DK097771 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Shuibing Chen, Jeffrey S. Grethe · 2013 to 2026
$20.9M
The Monarch Initiative: Linking Diseases to Model Organism ResourcesR24OD011883 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2012 to 2024
$16.0M
OPERATION, SUPPORT AND STRATEGIC ENHANCEMENT OF THE NEUROSCIENCE INFORMATION FRAMEWORKU24DA039832 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GRETHE, JEFFREY S., MARTONE, MARYANN E · 2015 to 2016
$2.0M
NIDA NIH HHS HHSN271200577531CNIDA NIH HHS U24 DA039832NIDDK NIH HHS 1U24DK097771-01NIDDK NIH HHS U24 DK097771NIH HHS R24 OD011883NINDS NIH HHS HHSN271200800035C
6 · The paper itself

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 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 articles 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 articles 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 articles 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.

Indexed as

PublishingAnimalsAntibodiesData AccuracyDatabases, FactualData CurationInternetModels, AnimalPilot ProjectsReproducibility of ResultsSoftwareAntibodiesidentifiabilityresearch resourcesResource Identification Initiative

Identifiers

PMID26599696
PMCPMC4684178

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.