Advancing Science In A Collaborative Web 20 World

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    Advancing Science In A Collaborative Web 20 World - Presentation Transcript

    1. USGS National Biological Information Infrastructure Advancing Science in a Collaborative Web 2.0 World Government 2.0 Boot Camp Mike Frame
    2. Session Outline
      • Brief Organization Background
      • Why do we need such tools?
      • Our organizations current efforts
      • Where are we going
    3. USGS Biological Informatics Office
      • Headquartered in Reston, VA
      • Responsible for biological informatics activities within USGS
      • Programs Major focus:
        • Supporting the management, delivery, and utilization of biological data & information regardless of where, what, and who.
      • Approximately 60 staff in multiple locations throughout the US
      • Considerable work is done through partner grants or cooperative agreements (i.e. content)
      • Goal is to maximize the nation’s investment in research and monitoring through improved access to the results of those activities
      • Made up of a large, distributed yet interconnected network of people, technologies, standards, data, and organizations that together form a federation
      • Provides the enabling infrastructure for making biological data, information, tools and technologies accessible to customers, partners, and others for informed decision-making
      NBII Description and Overarching Goal
    4. Typical Content
      • Metadata
      • Maps
      • Data sets
      • Information Products
        • Scientific journal articles
        • Species profiles
      • Monitoring protocols
      • Tools and software
      • Electronic Keys
      • Images
      • Databases
      • Web sites
      • Various other Portlets
    5. Integrated View - Public NBII
      • Data Collection process
      • Micro-level vs. Macro-level research
      • “ Virtual” collaboration
      • UI Challenges for diverse audiences
      • “ generalized” vs. “one-off” tools
      • Information Integration/scale/search
      • Data quality
      • Requires multiple disciplines
      • Global scope
      • Sustainability of tools, applications, databases
      Community Challenges
    6. What do I mean by Web 2.0
      • Definitions of Web 2.0 on the Web:
      • My Definition (Key concepts):
      • Visualization, user interaction, infrastructure, collaboration, services, enabling, involvement, user driven, distributed authorities, multi-device
      • Other definitions:
      • The second generation of the World Wide Web, especially the movement away from static webpages to dynamic and shareable content en.wiktionary.org/wiki/Web_2.0
      • The use of World Wide Web technology and web design that aims to facilitate creativity, information sharing, and, most notably, collaboration ... www.anvilmediainc.com/search-engine-marketing-glossary.html
    7. Need for Web 2.0 tools in science
      • Summary:
      • Distributed resources
      • Multi-organizational involvement
        • Citizen involvement
        • Scientists
        • Educators
      • Data quality is paramount
      • Improved tools needed
      • Input to policies, decision making
      • Future generations
      • Limited resources
    8. Example efforts
      • Data Visualizations via IBM Many Eyes
      • My NBII Collaboration areas
      • Ecoinformatics thesauri
      • NBII SAIN Mashups
      • Protected Areas & Specimen widget
    9. Data Visualization Service
      • Needed to support:
        • Viewing
        • Contributions
        • Annotations
        • Reuse
        • Integration
        • Review
        • Improvements
    10. My NBII Portal (Partner “intranet)
    11. Content Managers Toolkit
    12. Federal Fish Passage Community
    13. Ecoinformatics Thesauri
      • Using Wiki’s, Blogs, etc. to support concept development and maintenance
    14. EEA GEMET Who can use it GEMET display term definitions, translate terms Web services building custom interfaces translators applications that need off-line data browse GEMET on-line Web applications using the API to implement searches, definitions, translations, etc. XML (RDF + SKOS) SOAP (RDF + SKOS) XML/RPC HTTP
    15. EEA GEMET Wiki environment
    16. Results
      • Limited success
        • Languages
        • Expertise
        • Small community
        • Users seem to prefer traditional products
        • SKOS/RDF version very popular
      • Still ongoing
    17. NBII SAIN Species Mashups
      • Designed for
        • One-stop-shop for species information in SE
        • Integrate diverse sources
          • Content Type
          • UI Presentation
    18. RSS – streaming of news, data, conferences, updates, etc. Wildlife Disease, Mid-Atlantic, Butterflies feeds NBII Data feeds
    19. Overall Challenges
      • Security
      • Web 121.x buzz word
      • Broad involvement
      • Ensuring Data quality
      • Performance
      • Supporting Infrastructure
      • Expertise/skill set
      • OMB Paperwork Reduction & Privacy Act
      • Funding
    20. Where are we going?
      • Deployment of new Search tools with web 2.0 features
      • Continued growth of My NBII
        • Bridging public and private environments
      • Tool and infrastructure developments
      • Broader community involvement
      • Semantic concepts for species, keywords
    21. Additional References and Contact Information
      • http://www.nbii.gov
      • http://my.nbii.gov
      • http://search.nbii.gov
      • http://metadata.nbii.gov
      • http://geospatial.nbii.gov
      • http://thesaurus.nbii.gov
      • http://wildlifedisease.nbii.gov
      • http://botany.nbii.gov
      • http://invasivespecies.nbii.gov
      • http://sain.nbii.gov
      • http://main.nbii.gov
      • http://gapanlysis.nbii.gov
      • http://www.itis.gov
      Questions / Comments / Advice / Opinions Mike Frame: mike_frame@usgs.gov

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