Literature DB >> 25982516

The Image and Data Archive at the Laboratory of Neuro Imaging.

Karen L Crawford1, Scott C Neu1, Arthur W Toga2.   

Abstract

The LONI Image and Data Archive (IDA)(1) is a repository for sharing and long-term preservation of neuroimaging and biomedical research data. Originally designed to archive strictly medical image files, the IDA has evolved over the last ten years and now encompasses the storage and dissemination of neuroimaging, clinical, biospecimen, and genetic data. In this article, we report upon the genesis of the IDA and how it currently securely manages data and protects data ownership.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Data repository; Data sharing; IDA

Mesh：

Year:  2015        PMID： 25982516      PMCID： PMC4644502          DOI： 10.1016/j.neuroimage.2015.04.067

Source DB:  PubMed          Journal:  Neuroimage        ISSN： 1053-8119            Impact factor:   6.556


  19 in total

Review 1.  Should the neuroscience community make a paradigm shift to sharing primary data?

Authors:  S H Koslow
Journal:  Nat Neurosci       Date:  2000-09       Impact factor: 24.884

2.  The informatics core of the Alzheimer's Disease Neuroimaging Initiative.

Authors:  Arthur W Toga; Karen L Crawford
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

3.  Towards effective and rewarding data sharing.

Authors:  Daniel Gardner; Arthur W Toga; Giorgio A Ascoli; Jackson T Beatty; James F Brinkley; Anders M Dale; Peter T Fox; Esther P Gardner; John S George; Nigel Goddard; Kristen M Harris; Edward H Herskovits; Michael L Hines; Gwen A Jacobs; Russell E Jacobs; Edward G Jones; David N Kennedy; Daniel Y Kimberg; John C Mazziotta; Perry L Miller; Susumu Mori; David C Mountain; Allan L Reiss; Glenn D Rosen; David A Rottenberg; Gordon M Shepherd; Neil R Smalheiser; Kenneth P Smith; Tom Strachan; David C Van Essen; Robert W Williams; Stephen T C Wong
Journal:  Neuroinformatics       Date:  2003

4.  The LONI Debabeler: a mediator for neuroimaging software.

Authors:  Scott C Neu; Daniel J Valentino; Arthur W Toga
Journal:  Neuroimage       Date:  2004-12-31       Impact factor: 6.556

5.  A standard protocol for the exchange of nuclear medicine image files.

Authors:  T D Cradduck; D L Bailey; B F Hutton; F de Conninck; E Busemann-Sokole; H Bergmann; U Noelpp
Journal:  Nucl Med Commun       Date:  1989-10       Impact factor: 1.690

6.  The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease.

Authors:  Kathryn A Ellis; Ashley I Bush; David Darby; Daniela De Fazio; Jonathan Foster; Peter Hudson; Nicola T Lautenschlager; Nat Lenzo; Ralph N Martins; Paul Maruff; Colin Masters; Andrew Milner; Kerryn Pike; Christopher Rowe; Greg Savage; Cassandra Szoeke; Kevin Taddei; Victor Villemagne; Michael Woodward; David Ames
Journal:  Int Psychogeriatr       Date:  2009-05-27       Impact factor: 3.878

Review 7.  The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Enchi Liu; John C Morris; Ronald C Petersen; Andrew J Saykin; Mark E Schmidt; Leslie Shaw; Li Shen; Judith A Siuciak; Holly Soares; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2013-08-07       Impact factor: 21.566

8.  Sharing big biomedical data.

Authors:  Arthur W Toga; Ivo D Dinov
Journal:  J Big Data       Date:  2015-06-27

9.  Efficient, Distributed and Interactive Neuroimaging Data Analysis Using the LONI Pipeline.

Authors:  Ivo D Dinov; John D Van Horn; Kamen M Lozev; Rico Magsipoc; Petros Petrosyan; Zhizhong Liu; Allan Mackenzie-Graham; Paul Eggert; Douglas S Parker; Arthur W Toga
Journal:  Front Neuroinform       Date:  2009-07-20       Impact factor: 4.081

10.  The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.

Authors:  A Di Martino; C-G Yan; Q Li; E Denio; F X Castellanos; K Alaerts; J S Anderson; M Assaf; S Y Bookheimer; M Dapretto; B Deen; S Delmonte; I Dinstein; B Ertl-Wagner; D A Fair; L Gallagher; D P Kennedy; C L Keown; C Keysers; J E Lainhart; C Lord; B Luna; V Menon; N J Minshew; C S Monk; S Mueller; R-A Müller; M B Nebel; J T Nigg; K O'Hearn; K A Pelphrey; S J Peltier; J D Rudie; S Sunaert; M Thioux; J M Tyszka; L Q Uddin; J S Verhoeven; N Wenderoth; J L Wiggins; S H Mostofsky; M P Milham
Journal:  Mol Psychiatry       Date:  2013-06-18       Impact factor: 15.992
View more
  15 in total

1.  Biomedical Image Processing with Containers and Deep Learning: An Automated Analysis Pipeline: Data architecture, artificial intelligence, automated processing, containerization, and clusters orchestration ease the transition from data acquisition to insights in medium-to-large datasets.

Authors:  Germán González; Conor L Evans
Journal:  Bioessays       Date:  2019-05-16       Impact factor: 4.345

2.  INCloud: integrated neuroimaging cloud for data collection, management, analysis and clinical translations.

Authors:  Qingfeng Li; Lijuan Jiang; Kaini Qiao; Yang Hu; Bing Chen; Xiaochen Zhang; Yue Ding; Zhi Yang; Chunbo Li
Journal:  Gen Psychiatr       Date:  2021-12-23

3.  Generating novel pituitary datasets from open-source imaging data and deep volumetric segmentation.

Authors:  Rachel Gologorsky; Edward Harake; Grace von Oiste; Mustafa Nasir-Moin; William Couldwell; Eric Oermann; Todd Hollon
Journal:  Pituitary       Date:  2022-08-09       Impact factor: 3.599

4.  D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data.

Authors:  Hai Shu; Zhe Qu; Hongtu Zhu
Journal:  J Mach Learn Res       Date:  2022       Impact factor: 5.177

5.  CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets.

Authors:  Hai Shu; Zhe Qu
Journal:  Electron J Stat       Date:  2022-04-04       Impact factor: 1.225

6.  The Stroke Preclinical Assessment Network: Rationale, Design, Feasibility, and Stage 1 Results.

Authors:  Patrick D Lyden; Francesca Bosetti; Márcio A Diniz; André Rogatko; James I Koenig; Jessica Lamb; Karisma A Nagarkatti; Ryan P Cabeen; David C Hess; Pradip K Kamat; Mohammad B Khan; Kristofer Wood; Krishnan Dhandapani; Ali S Arbab; Enrique C Leira; Anil K Chauhan; Nirav Dhanesha; Rakesh B Patel; Mariia Kumskova; Daniel Thedens; Andreia Morais; Takahiko Imai; Tao Qin; Cenk Ayata; Ligia S B Boisserand; Alison L Herman; Hannah E Beatty; Sofia E Velazquez; Sebastian Diaz-Perez; Basavaraju G Sanganahalli; Jelena M Mihailovic; Fahmeed Hyder; Lauren H Sansing; Raymond C Koehler; Steven Lannon; Yanrong Shi; Senthilkumar S Karuppagounder; Adnan Bibic; Kazi Akhter; Jaroslaw Aronowski; Louise D McCullough; Anjali Chauhan; Andrew Goh
Journal:  Stroke       Date:  2022-03-31       Impact factor: 10.170

Review 7.  Big data sharing and analysis to advance research in post-traumatic epilepsy.

Authors:  Dominique Duncan; Paul Vespa; Asla Pitkänen; Adebayo Braimah; Niina Lapinlampi; Arthur W Toga
Journal:  Neurobiol Dis       Date:  2018-06-01       Impact factor: 5.996

8.  To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery.

Authors: 
Journal:  Neuron       Date:  2016-11-02       Impact factor: 17.173

9.  Bridging the Brain and Data Sciences.

Authors:  John Darrell Van Horn
Journal:  Big Data       Date:  2020-11-18       Impact factor: 4.426

10.  Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population.

Authors:  Silvia De Francesco; Samantha Galluzzi; Nicola Vanacore; Cristina Festari; Paolo Maria Rossini; Stefano F Cappa; Giovanni B Frisoni; Alberto Redolfi
Journal:  Front Neurosci       Date:  2021-06-28       Impact factor: 4.677
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.