Literature DB >> 15046248

Axiope tools for data management and data sharing.

Nigel H Goddard1, Robert C Cannon, Fred W Howell.   

Abstract

Many areas of biological research generate large volumes of very diverse data. Managing this data can be a difficult and time-consuming process, particularly in an academic environment where there are very limited resources for IT support staff such as database administrators. The most economical and efficient solutions are those that enable scientists with minimal IT expertise to control and operate their own desktop systems. Axiope provides one such solution, Catalyzer, which acts as flexible cataloging system for creating structured records describing digital resources. The user is able specify both the content and structure of the information included in the catalog. Information and resources can be shared by a variety of means, including automatically generated sets of web pages. Federation and integration of this information, where needed, is handled by Axiope's Mercat server. Where there is a need for standardization or compatibility of the structures usedby different researchers this canbe achieved later by applying user-defined mappings in Mercat. In this way, large-scale data sharing can be achieved without imposing unnecessary constraints or interfering with the way in which individual scientists choose to record and catalog their work. We summarize the key technical issues involved in scientific data management and data sharing, describe the main features and functionality of Axiope Catalyzer and Axiope Mercat, and discuss future directions and requirements for an information infrastructure to support large-scale data sharing and scientific collaboration.

Mesh:

Year:  2003        PMID: 15046248     DOI: 10.1385/NI:1:3:271

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  9 in total

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Journal:  J Neurosci Methods       Date:  1998-07-01       Impact factor: 2.390

Review 2.  Towards NeuroML: model description methods for collaborative modelling in neuroscience.

Authors:  N H Goddard; M Hucka; F Howell; H Cornelis; K Shankar; D Beeman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2001-08-29       Impact factor: 6.237

3.  Advanced database methodology for the Collation of Connectivity data on the Macaque brain (CoCoMac).

Authors:  K E Stephan; L Kamper; A Bozkurt; G A Burns; M P Young; R Kötter
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2001-08-29       Impact factor: 6.237

Review 4.  Opinion: Databasing fMRI studies towards a 'discovery science' of brain function.

Authors:  John D Van Horn; Michael S Gazzaniga
Journal:  Nat Rev Neurosci       Date:  2002-04       Impact factor: 34.870

Review 5.  Opinion: Sharing primary data: a threat or asset to discovery?

Authors:  Stephen H Koslow
Journal:  Nat Rev Neurosci       Date:  2002-04       Impact factor: 34.870

Review 6.  Non-curated distributed databases for experimental data and models in neuroscience.

Authors:  R C Cannon; F W Howell; N H Goddard; E De Schutter
Journal:  Network       Date:  2002-08       Impact factor: 1.273

7.  NeuroSys: a semistructured laboratory database.

Authors:  Sandy Pittendrigh; Gwen Jacobs
Journal:  Neuroinformatics       Date:  2003

8.  NeuroNames 2002.

Authors:  Douglas M Bowden; Mark F Dubach
Journal:  Neuroinformatics       Date:  2003

9.  Common data model for neuroscience data and data model exchange.

Authors:  D Gardner; K H Knuth; M Abato; S M Erde; T White; R DeBellis; E P Gardner
Journal:  J Am Med Inform Assoc       Date:  2001 Jan-Feb       Impact factor: 4.497

  9 in total
  3 in total

1.  Axiope: data sharing using distributed catalogs.

Authors:  Giampaolo D'Alessandro
Journal:  Neuroinformatics       Date:  2003

2.  NeuroScholar's electronic laboratory notebook and its application to neuroendocrinology.

Authors:  Arshad M Khan; Joel D Hahn; Wei-Cheng Cheng; Alan G Watts; Gully A P C Burns
Journal:  Neuroinformatics       Date:  2006

3.  LabKey Server: an open source platform for scientific data integration, analysis and collaboration.

Authors:  Elizabeth K Nelson; Britt Piehler; Josh Eckels; Adam Rauch; Matthew Bellew; Peter Hussey; Sarah Ramsay; Cory Nathe; Karl Lum; Kevin Krouse; David Stearns; Brian Connolly; Tom Skillman; Mark Igra
Journal:  BMC Bioinformatics       Date:  2011-03-09       Impact factor: 3.307

  3 in total

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