Case studies from the national biological information infrastructure and the nasa goddard library
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Case Studies from the National Biological Information Infrastructure and the NASA Goddard Library. Gail Hodge & Vivian Hutchison Information International Associates, Inc./ Consultants to the US Geological Survey & The NASA Goddard Space Flight Center Library 13 September 2005

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Case studies from the national biological information infrastructure and the nasa goddard library

Case Studies from the National Biological Information Infrastructure and the NASA Goddard Library

Gail Hodge & Vivian Hutchison

Information International Associates, Inc./

Consultants to the US Geological Survey &

The NASA Goddard Space Flight Center Library

13 September 2005

Madrid, Spain


Case study questions

Case Study Questions

  • How can the Dublin Core and knowledge organization systems be used in a heterogeneous project-based environment that also needs to preserve consistency for federated searching?

  • How can knowledge organization systems link local digital repositories to organization-wide efforts?

  • What is the framework for supporting an environment where projects are continuously added, thereby changing the metadata and vocabulary needs?


Case 1 the nbii

Case #1: The NBII

The NBII is an electronic gateway to biological data and information maintained by federal, state, and local government agencies; private sector organizations; and other partners around the nation and the world.


Case studies from the national biological information infrastructure and the nasa goddard library

NBII Node Structure

  • Regional

  • Thematic

  • Infrastructure


Case studies from the national biological information infrastructure and the nasa goddard library

GLOBAL

REGIONAL

NATIONAL

LOCAL

World Data Centers (WDC),

Global Biodiversity Information Facility (GBIF),

Clearinghouse Mechanism (CHM)

Pacific Biodiversity Information Forum (PBIF),

The Inter-American Biodiversity Information Network (IABIN)

NBII (US), CBIN (Canada),

ERIN (Australia)

State Heritage Programs,

GAP Analysis,

County Park Information


Case 2 nasa goddard library

Case #2: NASA Goddard Library

  • In the post-Columbia era, concern about sharing lessons learned

  • But… over 150 projects in Goddard’s Projects Directory; approximately 30 more added each year

  • Different project library systems with different metadata schemes

  • Library’s Digital Asset System was developed to provide a metadata catalog and a single search interface


Goddard s digital asset system

Goddard’s Digital Asset System

Library Catalog

Project Documents

Web Sites

Goddard Core Metadata Server

IMAGES/NIX

Video


Lessons learned from case studies

Lessons Learned from Case Studies

  • Metadata schemes and knowledge organization systems are necessary

    • Core metadata element set

    • Base taxonomy or controlled vocabulary

  • A framework for addressing the needs of individual projects or nodes

  • Tools for mapping

  • A “central” organization to sustain a culture of interoperability


Nbii s use of metadata

NBII’s Use of Metadata

  • NBII has standardized on the Biological Data Profile extension to the FGDC standard

  • Use Dublin Core for web sites, documents and presentations

  • Regional, national and international partners may have their own metadata element sets

  • Need for collaboration with new partners in other disciplines who may already have their own element sets


Nbii s use of kos

NBII’s Use of KOS

  • Biocomplexity Thesaurus

    • Web sites

    • Journal articles and other materials in the Biocomplexity Database

  • Integrated Taxonomic Information System (ITIS) used to control terms for biological organism names


Goddard s use of metadata

Goddard’s Use of Metadata

  • Developed the Goddard Core Metadata Element Set based on qualified Dublin Core

  • Used to bring various digital objects together

  • Map from Project Library metadata to the Goddard Core

  • Expect to use Goddard Core with OAI in the future


Goddard s use of kos

Goddard’s Use of KOS

  • Use the NASA-Wide Taxonomy

  • Add specific taxonomy for each project

  • Map the specific taxonomy to the NASA-Wide Taxonomy

  • Develop specific pick lists for some elements such as content type and audience


Lessons learned from case studies1

Lessons Learned from Case Studies

  • Metadata schemes and knowledge organization systems are necessary

    • Core metadata element set

    • Base taxonomy or controlled vocabulary

  • A framework for addressing the needs of individual projects or nodes

  • Tools for mapping

  • A “central” organization to sustain a culture of interoperability


Framework components

Framework Components

Ingest

Process

Project

Scope

Submission vs.

Harvesting/Spidering

Audience

Content Types

Formats

Elements

Content

Guidelines

Qualified GC

GC Extensions

Administrative Extensions

Constraints:

Pick lists

Input Rules

Mandatory/Optional

Input order


Categories of goddard core changes

Categories of Goddard Core Changes

  • Qualifications

    • Subject.Controlled

    • Creator.Contract

  • Extensions

    • Administrative

  • New Pick Lists

    • Subject.MissionsProjects

    • Subject.Instrument

    • Subject.Competencies

    • Audience

  • Constraints to Current Pick Lists

    • Format

    • Content Type


Landsat example

Landsat Example

  • Subject.Competencies

    • Applications

      • Agriculture

      • Boreal Forests

    • Spacecraft

      • Attitude

      • Solid State Recorder (SSR)

  • Audience

    • Application

    • Education

    • State and Local Government

  • Subject.MissionProject

    • ERTS

    • Landsat 1

    • Landsat …

    • Future Landsat Missions

  • Subject.Instrument

    • RBV

    • MSS

    • Follow-on


Lessons learned from case studies2

Lessons Learned from Case Studies

  • Metadata schemes and knowledge organization systems are necessary

    • Core metadata element set

    • Base taxonomy or controlled vocabulary

  • A framework for addressing the needs of individual projects or nodes

  • Tools for mapping

  • A “central” organization to sustain a culture of interoperability


Mapping tools

Mapping Tools

  • Metadata Registry considered key to mapping and organizing across multiple schemes

  • Based on ISO 11179 Data Dictionary standard

  • Maintain the metadata and KOSs separately but map for interoperability

  • XMDR Project (www.xmdr.org) will allow more semantics to be expressed within this structure


Lessons learned from case studies3

Lessons Learned from Case Studies

  • Metadata schemes and knowledge organization systems are necessary

    • Core metadata element set

    • Base taxonomy or controlled vocabulary

  • A framework for addressing the needs of individual projects or nodes

  • Tools for mapping

  • A “central” organization to sustain a culture of interoperability


Supporting organizations

Supporting Organizations

  • NBII has infrastructure nodes and HQ staff to support standards, vocabulary and metadata development and training

  • Goddard Library has a Digital Project Group, quarterly Metadata Review Group Meetings and partnerships with other centers, agencies and external projects


Case study questions1

Case Study Questions

  • How can the Dublin Core and knowledge organization systems be used in a heterogeneous project-based environment that also needs to preserve consistency for federated searching?

  • How can knowledge organization systems link local digital repositories to organization-wide efforts?

  • What is the framework for supporting an environment where projects are continuously added, thereby changing the metadata and vocabulary needs?

  • Core but extensible metadata

  • Core but extensible KOSs

  • Tools

  • Supportive organization structure


Contact information

Contact Information

Gail Hodge

Information International Associates

312 Walnut Pl.

Havertown, PA 19083 USA

Phone: +1 865-742-5430

E-mail: [email protected] or [email protected]


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