Evidence map›Paper›PMID 26267019›Full record

ReviewNeuropsychology review2015

Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community.

B Nolan Nichols, Kilian M Pohl

Abstract readReview
In one paragraph

Review in Neuropsychology review, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The vast potential and bright future of neuroimaging.The British journal of radiology · 2018
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. 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

2 authors.

B Nolan NicholsCenter for Health Sciences, SRI International, 333 Ravenswood Ave, Menlo Park, CA, USA, nolan.nichols@gmail.com.
Kilian M Pohl

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
TRACKING HIV INFECTION AND ALCOHOL ABUSE CNS COMORBIDITY WITH NEUROIMAGINGU01AA017347 · NIAAA · SRI INTERNATIONAL · PI PFEFFERBAUM, ADOLF, SULLIVAN, EDITH VIONI · 2007 to 2021
$16.0M
Neuroimaging of Alcohol-Induced Neuroadaptation: Translation From Animals to HumansU01AA013521 · NIAAA · SRI INTERNATIONAL · PI PFEFFERBAUM, ADOLF, ZAHR, NATALIE M · 2001 to 2021
$15.2M
CNS DEFICITS: INTERACTION OF AGE AND ALCOHOLISMR01AA005965 · NIAAA · STANFORD UNIVERSITY · PI PFEFFERBAUM, ADOLF, ZAHR, NATALIE M · 1985 to 2025
$13.0M
NCANDA: Data Analysis Resource - Uploading Legacy Data to NDAU24AA021697 · NIAAA · STANFORD UNIVERSITY · PI Adolf Pfefferbaum, Kilian Maria Pohl · 2016 to 2026
$12.2M
NEUROIMAGING OF CONNECTIVITY IN ALCOHOLISMR01AA012388 · NIAAA · SRI INTERNATIONAL · PI PFEFFERBAUM, ADOLF, SULLIVAN, EDITH VIONI · 2000 to 2015
$10.6M
National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA): Administrative ResourceU24AA021695 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, Susan F. Tapert · 2016 to 2026
$6.0M
N-CANDA: DATA ANALYSIS COMPONENTU01AA021697 · NIAAA · SRI INTERNATIONAL · PI PFEFFERBAUM, ADOLF, POHL, KILIAN MARIA · 2012 to 2015
$3.6M
US-France Research Collaboration on Neuroimaging Studies of AlcoholismU01AA017923 · NIAAA · STANFORD UNIVERSITY · PI PFEFFERBAUM, ADOLF, SULLIVAN, EDITH VIONI · 2008 to 2017
$2.4M
International Research Collaboration on Neuroimaging Studies of AlcoholismR01AA017923 · NIAAA · STANFORD UNIVERSITY · PI PFEFFERBAUM, ADOLF, SULLIVAN, EDITH VIONI · 2018 to 2019
$496k
NIAAA NIH HHS R01 AA005965NIAAA NIH HHS R01AA005965NIAAA NIH HHS R01 AA012388NIAAA NIH HHS R01AA012388NIAAA NIH HHS U01 AA013521NIAAA NIH HHS U01AA013521NIAAA NIH HHS U01 AA017347NIAAA NIH HHS U01AA017347NIAAA NIH HHS U01 AA017923NIAAA NIH HHS U01 AA021697NIAAA NIH HHS U24 AA021695NIAAA NIH HHS U24 AA021697NIAID NIH HHS P30 AI027763
6 · The paper itself

Abstract

Accelerating insight into the relation between brain and behavior entails conducting small and large-scale research endeavors that lead to reproducible results. Consensus is emerging between funding agencies, publishers, and the research community that data sharing is a fundamental requirement to ensure all such endeavors foster data reuse and fuel reproducible discoveries. Funding agency and publisher mandates to share data are bolstered by a growing number of data sharing efforts that demonstrate how information technologies can enable meaningful data reuse. Neuroinformatics evaluates scientific needs and develops solutions to facilitate the use of data across the cognitive and neurosciences. For example, electronic data capture and management tools designed to facilitate human neurocognitive research can decrease the setup time of studies, improve quality control, and streamline the process of harmonizing, curating, and sharing data across data repositories. In this article we outline the advantages and disadvantages of adopting software applications that support these features by reviewing the tools available and then presenting two contrasting neuroimaging study scenarios in the context of conducting a cross-sectional and a multisite longitudinal study.

Indexed as

Database Management SystemsBrainCognitionHumansInformaticsInformation DisseminationNeuroimagingRegistriesSoftware

Identifiers

PMID26267019
PMCPMC5400666

What OpenQuestion holds

Textmetadata
LicenceTDM
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.