Enabling Interaction and Quality in a Distributed Data DRIS

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Enabling Interaction and Quality in a Distributed
Data DRIS
CRIS 2006 Bergen, Norway May 11, 2006

• D. Scott BrandtAssociate Dean for Research
  Michael WittSenior Research Systems
  Administrator
• Purdue University Libraries

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Background Purdue University

• Nine Colleges Agriculture, Consumer Family
  Sciences, Education, Engineering, Liberal Arts,
  Management, Pharmacy/ Nursing/Health Sciences,
  Technology, Vet Medicine
• 73 Departments, several cross-disciplinary e.g.
  Agricultural Biological Engineering

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Purdue University Libraries

• 2004 initiative for Librarians (faculty) to
  collaborate with other faculty across
  campusapply library science knowledge and
  expertise to various research data problems
• collect, organize, describe, curate, archive,
  disseminate data/information

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Strategic directions

• University interdisciplinaryand collaborative
  endeavorsgrounded in the strengths of academic
  disciplines
• Libraries Libraries faculty are integrated into
  campus research agenda

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Areas of research collaboration

• Discovery Learning Center
• Earth Atmospheric Science
• English
• IT at Purdue
• Mechanical Engineering Technology
• Regenstrief Center

• Agronomy
• Biology
• Cancer Center
• Center for the Environment
• Chemical Engineering
• Chemistry
• Cyber Center

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Current areas of participation

• E. Coli K-12 Model Organism Resource NIH proposal
  (B. Wanner, Biology, PI, D. Scott Brandt,
  Libraries, Co-PI) create archival process for
  curated database, assist in applying ontologies
  for data representation and annotation
• An Expert System Multimedia Tutorial for Locating
  Technical Information, Purdue University TLT
  Digital Content grant (Megan Sapp, PI, Amy Van
  Epps and Michael Fosmire, co-PIs, with Bruce
  Harding, Mechanical Engineering Technology)
  develop tutorial for MET102 course in using and
  applying standards
• URL-based Search Interface to the Distributed
  Institutional Repository Purdue University
  Graduate School (Michael Witt, Libraries, PI,
  Darcy Bullock, Civil Engineering, Co-PI) develop
  toolkit to deploy customized searching of
  dissertations by school, advisor, etc.
• AquaEcon Web Library An Electronic Resource on
  Economics-Related Literature on Aquaculture, NOAA
  (K. Quagrainie, Agricultural Economics PI, Hal
  Kirkwood, Libraries, as co-PI) build and
  populate database

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Progression towards CRIS

• Institutional repository (IR)
• Distributed institutional repository (DIR)
• Interactions related to DIR leading to CRIS-like
  applications
• Leverage DIR for DRIS/CRIS

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Distributed Institutional Repository
e-prints
archival collections
MetadataRepository
grid resources
Applications
data archive
native databases
OAI Service Provider
OAI Data Providers
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A systems-based approach to Libraries supporting
research linear
inputs
experimentation
outputs
Data repositories
Document repositories
CRIS
A repository of well-described data resulting
from research processes is preserved and shared
for repurposing
A current research information system links
people engaged in research with funding and other
resources such as interdisciplinary collaborators
Journal article pre-prints, post-prints,
conference and working papers, dissertations and
other e-prints represent research outputs in a
document repository
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A systems-based approach to Libraries supporting
research cyclical
CRIS
data repository
e-print repository
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An example application SRU

• Linking to electronic theses and dissertations
  (ETD)
• URL-based search interface to DIR running as a
  web service
• 16,000 Strategic Development Initiative award
  for fellowship and server

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Getting to the datasets SRB

• The Storage Resource Broker
• Developed by the San Diego Supercomputer Center
• Uniform access to heterogeneous, distributed
  storage
• Metadata catalog (MCAT) and preservation
  functionality
• TeraGrid, collaboration with Information
  Technology at Purdue and Rosen Center for
  Advanced Computing

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An example systems interaction

• OAISRB provides an OAI-PMH interface to the SRB
  to expose metadata from resources on a data grid
  to OAI service providers

Data grid
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Sample OAISRB config
OAI Handler Base URL Format OAIHandler.baseUR
Lhttp//128.210.126.2318080/OAISRB/OAIHandler
SRB Connection Parameters SRB.HOSTorion.sdsc.e
du SRB.PORT7620 SRB.USERNAMEmwitt SRB.PASSWORDn
yah SRB.HOMEDIRECTORY/dspace/home/mwitt.purdue SR
B.MDASDOMAINNAMEpurdue SRB.DEFAULTSTORAGERESOURCE
dspace-fs1 SRB.MCATZONEdspace SRB
Collection Count and SRB Collection
Names SRB.root/TGzone/home/lars.itap SRB.maxcolle
ctions1 SRB.collection1LARSDATA Custom
Parameters for SRB GRID SRBRecordFactory.repositor
yIdentifiermwitt.purdue Display.MaxListSize50
Custom Identify response values Identify.reposi
toryNameSRB Data Grid Identify.adminEmailmailto
mwitt_at_purdue.edu Identify.earliestDatestamp2000-0
1-01T000000Z Identify.deletedRecordno
Crosswalk (in this example, FGDC-to-unqualified
Dublin Core) DC.Identifiertitle DC.Descriptionpu
rpose DC.Titletitle DC.FormatFile
Format DC.Creatoraddress DC.Subjectmetprof
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Metadata research

• Metadata librarian worked for four months
  analyzing metadata needs and processes for
  several data sets
• Results included DC descriptions, enhanced with
  thesaurus headings, and a basic crosswalk
• Also metadata descriptions from scratch are too
  manually intensive

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Metadata- Water Quality

• A flat file with only system metadata
• Began with Dublin Core
• Enhanced subjects with thesaurus from NAL (US
  National Agriculture Library)
• Looked at DIF (Dir. Interchange Format)
• Looked at cross-walk with FGDC (Federal
  Geographic Data Comm.) format

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Next steps Metadata

• Articulate metadata workflow to imbed metadata
  into the process
• Review automating all data
• Determine how/where to validate and automate
  descriptive metadata

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Conclusions and Questions

• Use existing, native metadata whenever possible
• Automate and periodically assess processes to
  ensure quality
• Diminishing returns we settled on discovery and
  collection-level metadata
• Crosswalks are useful but can truncate or distort
  the original meaning
• The importance of interactions, among people and
  systems
• How do we implement CRIS/CWIS/DRIS in our
  environment?
• What is the role of the Libraries in such?

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Takk (thank you)

• Michael Witt
• mwitt_at_purdue.edu

• D. Scott Brandt
• techman_at_purdue.edu