The Georgia Institute of Technology Data Curation Program - PowerPoint PPT Presentation

About This Presentation
Title:

The Georgia Institute of Technology Data Curation Program

Description:

Neuroscience and Neuroimaging at GT GT Library: Engagement in Data Curation Neuroimaging and GT Project Team Data Curation Strategy ... – PowerPoint PPT presentation

Number of Views:78
Avg rating:3.0/5.0
Slides: 7
Provided by: tw12
Learn more at: http://web.mit.edu
Category:

less

Transcript and Presenter's Notes

Title: The Georgia Institute of Technology Data Curation Program


1
The Georgia Institute of Technology Data
Curation Program
Tyler O. Walters, Associate Director, Technology
Resource Services Library Information Center,
Georgia Institute of Technology For NSF Site
Visit to MIT, February 8 2010
2
Why is GT involved in DataSpace Project?
  • To establish a system of federated, distributed
    data repositories. (GT recognizes need for this
    research infrastructure)
  • Shared background with MIT, DSpace development
    since 2003
  • Collaborate on data curation research and
    services, start with neurosciences and
    biosciences
  • GT is committed to advancing its data curation
    program (created research data librarian
    position)

3
Neuroscience and Neuroimaging at GT
  • GT/GSU Center for Advanced Brain Imaging (CABI)
  • http//www.cabiatl.com/CABI/ (Chris Rordan,
    Director)
  • CABI 27 PIs / faculty 35-40 researchers,
    Center holds ca. 120 TB
  • Neuroscience leading example of a domain that
    will curate its data in a diffuse fashion hence,
    university-level solutions will become
    significant
  • fMRI brain studies -- Formats DICOM, NIfTI, and
    EEG numeric data
  • Work with Prof. Paul Corballis
    http//psychology.gatech.edu/corballislab/
  • Data Dissemination publisher rules vary --
    researchers desire linking e-publishing
    activities with final data, however, they
    struggle with how best to enact primary-secondary
    source relationship

4
GT LibraryEngagement in Data Curation
  • 2007-09 Library Data Curation Work Group
  • Interviewed researchers about data
    practices/needs, collected interview data
  • 2009-10 Research Data Project Librarian
    Workgroup
  • Continue assessments of faculty data practices
    (using DAF)
  • Librarys Digital Development Team
  • Assessing implementing technology
    infrastructure for data curation
  • Core systems for data curation
  • Sun StorageTek 2540 disk arrays / SL 500 Tape
    Library / Sun SAM server ZFS
  • Work with MIT technology stack for data curation
  • Extended storage and preservation services
    (external partners, e.g. MetaArchive,
    Chronopolis, consider new DuraCloud service)

5
Neuroimaging and GT Project Team
  • MIT Martinos Imaging Center / GT Ctr. for
    Advanced Brain Imaging
  • Synergies in data curation to advance science
    through
  • data sharing, publishing, and preservation
  • The GT Team
  • Library data curator, storage/network manager,
    programmer, repository
  • librarian, psychology librarian, AD
    for technology (Walters)
  • OIT director of infrastructure and
    architecture (Chen)
  • CABI Prof. Corballis, graduate student
  • Advisors Prof. David Bader, Exec. Director,
    High-Performance Computing
  • Dr. Bill Underwood (GTRI), digital
    archives research
  • Prof. Leo Mark (Computing),
    atmospheric science data curation

6
Data Curation Strategy
  • Data deposition/acquisition/ingest
  • SIPs prepared by CABI graduate student / GT
    Research Data Librarian
  • Data curation and metadata management
  • Collaborate on metadata guidelines, policies on
    access, retention, formats , etc.
  • Data protection (policies, tools, procedures)
  • Chen (OIT), Baines (OIT Info. Security), Helms
    and Walters (Library), Corballis (CABI)
  • Data discovery, access, use, dissemination
  • Collaborate on portal design, descriptive
    metadata for expert and citizen use
  • Data interoperability, standards, integration
  • Identify, develop, and use in-common ontologies,
    semantic frameworks, data transfer and
    integration protocols between partners
  • Data evaluation, analysis, and visualization
  • Build technical framework to incorporate
    researchers tools
Write a Comment
User Comments (0)
About PowerShow.com