Evidence map›Paper›PMID 26306864›Full record

ArticleNeuroinformatics2016

A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience.

Victoria Hodge, Mark Jessop, Martyn Fletcher, Michael Weeks, Aaron Turner, Tom Jackson, Colin Ingram, Leslie Smith, Jim Austin

Abstract read
PubMed Publisher
In one paragraph

Article in Neuroinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% of its field
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

0 citing papers in PubMed, 12 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 3 institutions in 1 country.

Victoria HodgeDepartment of Computer Science, University of York, Deramore Lane, York, YO10 5GH, UK. victoria.hodge@york.ac.uk.ORCID http://orcid.org/0000-0002-2469-0224
Mark JessopDepartment of Computer Science, University of York, Deramore Lane, York, YO10 5GH, UK.
Martyn FletcherDepartment of Computer Science, University of York, Deramore Lane, York, YO10 5GH, UK.
Michael WeeksDepartment of Computer Science, University of York, Deramore Lane, York, YO10 5GH, UK.
Aaron TurnerDepartment of Computer Science, University of York, Deramore Lane, York, YO10 5GH, UK.
Tom JacksonDepartment of Computer Science, University of York, Deramore Lane, York, YO10 5GH, UK.
Colin IngramInstitute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
Leslie SmithDepartment of Computing Science and Mathematics, University of Stirling, Stirling, UK.
Jim AustinDepartment of Computer Science, University of York, Deramore Lane, York, YO10 5GH, UK.
University of York · GBNewcastle University · GBUniversity of Stirling · GB

Funding

Biotechnology and Biological Sciences Research Council BB/I000984/1
6 · The paper itself

Abstract

The CARMEN Virtual Laboratory (VL) is a cloud-based platform which allows neuroscientists to store, share, develop, execute, reproduce and publicise their work. This paper describes new functionality in the CARMEN VL: an interactive publications repository. This new facility allows users to link data and software to publications. This enables other users to examine data and software associated with the publication and execute the associated software within the VL using the same data as the authors used in the publication. The cloud-based architecture and SaaS (Software as a Service) framework allows vast data sets to be uploaded and analysed using software services. Thus, this new interactive publications facility allows others to build on research results through reuse. This aligns with recent developments by funding agencies, institutions, and publishers with a move to open access research. Open access provides reproducibility and verification of research resources and results. Publications and their associated data and software will be assured of long-term preservation and curation in the repository. Further, analysing research data and the evaluations described in publications frequently requires a number of execution stages many of which are iterative. The VL provides a scientific workflow environment to combine software services into a processing tree. These workflows can also be associated with publications and executed by users. The VL also provides a secure environment where users can decide the access rights for each resource to ensure copyright and privacy restrictions are met.

Indexed as

NeurosciencesPeriodicals as TopicCloud ComputingHumansInformation DisseminationInformation Storage and RetrievalInternetReproducibility of ResultsSoftwareCollaborationExecution platformInteractive publication repositoryInteractive publicationsReproducible neuroscienceScientific workflowsWeb portal

Identifiers

PMID26306864
OpenAlexW1908057432

What OpenQuestion holds

Textmetadata
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.