Evidence map›Paper›PMID 21228907›Full record

ArticleFrontiers in neuroinformatics2010

Neuroscience Data Integration through Mediation: An (F)BIRN Case Study.

Naveen Ashish, José Luis Ambite, Maria Muslea, Jessica A Turner

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. SchizConnect: Virtual Data Integration in Neuroimaging.Data integration in the life sciences : ... International Workshop, DILS ... : proceedings. DILS (Conference) · 2015
    Article
  6. GEM: The GAAIN Entity Mapper.Data integration in the life sciences : ... International Workshop, DILS ... : proceedings. DILS (Conference) · 2015
    Article
  7. Medical data transformation using rewriting.Frontiers in neuroinformatics · 2015
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Biological databases for behavioral neurobiology.International review of neurobiology · 2012
    Review
  14. Data sharing in neuroimaging research.Frontiers in neuroinformatics · 2012
    Article
  15. Article
  16. Article
  17. A flexible, open, decentralized system for digital pathology networks.Studies in health technology and informatics · 2012
    Article
  18. NeuroLOG: sharing neuroimaging data using an ontology-based federated approach.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011
    Article
  19. Global Data Sharing in Alzheimer Disease Research.Alzheimer disease and associated disorders
    Article
  20. 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

4 authors.

Naveen AshishCalit2, University of California at Irvine Irvine, CA, USA.
José Luis Ambite
Maria Muslea
Jessica A Turner

Funding

FUNCTION BIRNU24RR021992 · NCRR · UNIVERSITY OF CALIFORNIA-IRVINE · PI POTKIN, STEVEN G · 2006 to 2010
$25.0M
BIO-INFORMATICS RESEARCH NETWORK COORDINATING CENTER (BIRN-CC)U24RR025736 · NCRR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KESSELMAN, CARL · 2009 to 2011
$15.0M
NCRR NIH HHS U24 RR021992NCRR NIH HHS U24 RR025736
6 · The paper itself

Abstract

We describe an application of the BIRN mediator to the integration of neuroscience experimental data sources. The BIRN mediator is a general purpose solution to the problem of providing integrated, semantically-consistent access to biomedical data from multiple, distributed, heterogeneous data sources. The system follows the mediation approach, where the data remains at the sources, providers maintain control of the data, and the integration system retrieves data from the sources in real-time in response to client queries. Our aim with this paper is to illustrate how domain-specific data integration applications can be developed quickly and in a principled way by using our general mediation technology. We describe in detail the integration of two leading, but radically different, experimental neuroscience sources, namely, the human imaging database, a relational database, and the eXtensible neuroimaging archive toolkit, an XML web services system. We discuss the steps, sources of complexity, effort, and time required to build such applications, as well as outline directions of ongoing and future research on biomedical data integration.

Indexed as

data integrationheterogeneous sourcesneuroinformatics

Identifiers

PMID21228907
PMCPMC3017358

What OpenQuestion holds

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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.