tools for dissemination of data and metadata
DESCRIPTION
Tools for Dissemination of Data and Metadata. Janez Štebe, ADP. SERSCIDA WP4 – WORKSHOP Ljubljana September 2013. Decision about choosing the tool. Boundary conditions? Staff number, skills Financial resources Time frame Legacy tools, systems Which goals you wish to achieve? Mission - PowerPoint PPT PresentationTRANSCRIPT
Tools for Dissemination of Data and Metadata
Janez Štebe, ADP
SERSCIDA WP4 – WORKSHOP Ljubljana
September 2013
www.serscida.eu
• Boundary conditions?• Staff number, skills• Financial resources• Time frame• Legacy tools, systems
• Which goals you wish to achieve?• Mission• Formal requirements (national policy,
integration with others)• Users‘ demand, community services
Decision about choosing the tool
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Other criteria in decission
making
Custom-built system
Clearl functional
specification!
Existing tool
Open source
Not open
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An arbitrary case for discussion: UCLA http://kuscholarworks.ku.edu/dspace/bitstream/1808/11049/3/Iverson_UCLA_NADDI2013.pdf
Boundary conditons
• UCLA Social Science Data Archive
• One archivist • One programmer
analyst • Student interns • Manage
survey/quantitative data
Requirements
•Serve all UCLA quantitative researchers
•Provide reference, cataloging/metadata
•Long term archiving •Support in data rescue •Data Management •Security •Easier to find for data •Easier for faculty to document data
•More visibility for data (web-based)
•Support a disaster plan •Document the entire data lifecycle
•Operate according to TRAC processes and policies
Custom-built system
•but limited IT resources
•Limited capability
Universal
repository
systems
•Fedora Islandora Dryad DuraSpace Hydra(ngea)…
•Would have needed a lot of IT resources
•Deployment can difficult
•Cost was way over what we could afford
•Technology really didn’t fit with what we wanted to do
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What are the remaining options available?Pros et cons?
• iRODS <Source: https://www.irods.org/pubs/iRODS_Overview_0903.pdf >
• iRODS Use Case: Social Science: ODUM Institute social science data
• Replicate XML-based data collection into iRODS Data Grid (…)
• The Dataverse Network <Source: http://thedata.org/book/handouts >
• View over collections: http://thedata.harvard.edu/dvn/dataverses/Federated/faces/site/BrowseDataversesPage.xhtml?initialSort=Released
• NADA <Source: http://ihsn.org/home/software/nada>
• ADP program: http://adp.ihsn.org/
• Colectica http://www.colectica.com/features• Statistics Denmark mission report of the project concerning
Metadata and Classification System Development for the BiH: http://www.dst.dk/en/consulting/projects/Bosnia-Herzegovina/32_Metadata_and_classification_system.aspx
• Nesstar http://www.nesstar.com/about/• Nesstar katalog Arhiva družboslovnih podatkov: http://nesstar2.adp.fdv.uni-lj.si
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Solution?
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The UCLA solution/ Lesson learned
• One-size fits all solutions don’t; interoperability does.
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More cross-walks mentioned:
• „A paper titled "Integrating Colectica, Nesstar, and DDI-Lifecycle" will be presented in collaboration with Nesstar.
• This enables publishing data on the web using Nesstar
while managing the DDI-Lifecycle metadata in Colectica. „ http://www.prweb.com/releases/IASSIST/Data/prweb10688814.htm
• DDI + API: building services on top of your existing DDI holdings
• A Nesstar Server is an example of a web-based container that can store and make available DDI metadata to consuming applications
• Harvester taking snapshots for persistent archiving in DataVerse (beta)
http://www.rdl.sfu.ca/IASSIST/index.php/Program/d1
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