Evidence map›Paper›PMID 25018728›Full record

ArticleFrontiers in neuroinformatics2014

Extending the NIF DISCO framework to automate complex workflow: coordinating the harvest and integration of data from diverse neuroscience information resources.

Luis N Marenco, Rixin Wang, Anita E Bandrowski, Jeffrey S Grethe, Gordon M Shepherd, Perry L Miller

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  13. Medical data transformation using rewriting.Frontiers in neuroinformatics · 2015
    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

6 authors.

Luis N MarencoCenter for Medical Informatics, Yale University School of Medicine New Haven, CT, USA ; VA Connecticut Healthcare System, US Department of Veterans Affairs West Haven, CT, USA ; Department of Neurobiology, Yale University School of Medicine New Haven, CT, USA.
Rixin WangCenter for Medical Informatics, Yale University School of Medicine New Haven, CT, USA.
Anita E BandrowskiDepartment of Neurosciences, Center for Research in Biological Systems, University of California at San Diego La Jolla, CA, USA.
Jeffrey S GretheDepartment of Neurosciences, Center for Research in Biological Systems, University of California at San Diego La Jolla, CA, USA.
Gordon M ShepherdDepartment of Neurobiology, Yale University School of Medicine New Haven, CT, USA.
Perry L MillerCenter for Medical Informatics, Yale University School of Medicine New Haven, CT, USA ; VA Connecticut Healthcare System, US Department of Veterans Affairs West Haven, CT, USA ; Department of Anesthesiology, Yale University School of Medicine New Haven, CT, USA ; Department of Molecular, Cellular and Developmental Biology, Yale University New Haven, CT, USA.

Funding

SenseLab: Integration of Multidisciplinary Sensory DataR01DC009977 · NIDCD · YALE UNIVERSITY · PI HINES, MICHAEL L, MCDOUGAL, ROBERT A. · 2009 to 2018
$6.7M
Mediated Integration of Neuroscience ResourcesR01DA021253 · NIDA · YALE UNIVERSITY · PI MARENCO, LUIS N · 2006 to 2008
$970k
NIDA NIH HHS HHSN271200577531CNIDA NIH HHS R01 DA021253NIDCD NIH HHS R01 DC009977
6 · The paper itself

Abstract

This paper describes how DISCO, the data aggregator that supports the Neuroscience Information Framework (NIF), has been extended to play a central role in automating the complex workflow required to support and coordinate the NIF's data integration capabilities. The NIF is an NIH Neuroscience Blueprint initiative designed to help researchers access the wealth of data related to the neurosciences available via the Internet. A central component is the NIF Federation, a searchable database that currently contains data from 231 data and information resources regularly harvested, updated, and warehoused in the DISCO system. In the past several years, DISCO has greatly extended its functionality and has evolved to play a central role in automating the complex, ongoing process of harvesting, validating, integrating, and displaying neuroscience data from a growing set of participating resources. This paper provides an overview of DISCO's current capabilities and discusses a number of the challenges and future directions related to the process of coordinating the integration of neuroscience data within the NIF Federation.

Indexed as

biomedical informaticsdatabase federationdatabase interoperationdata integrationneuroinformatics

Identifiers

PMID25018728
PMCPMC4071641

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.