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Collaborative Databases on a Global Scale

Collaborative Databases on a Global Scale. Background on distributed biological databases. 1990's technology boom: funding, excitement, lots of biodata not online yet, huge potential Biology scientist meets computer scientist Australian Virtual Herbarium (AVH)

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Collaborative Databases on a Global Scale

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  1. Collaborative Databases on a Global Scale

  2. Background on distributed biological databases • 1990's technology boom: funding, excitement, lots of biodata not online yet, huge potential • Biology scientist meets computer scientist • Australian Virtual Herbarium (AVH) • Bio-resource network in Japan (BRnet) • European Natural History Specimen Information Network (ENHSIN) • Red Mundial de Informacion sobre Biodiversidad (REMIB) • The Species Analyst (TSA)

  3. How it worked • Single web site, many databases • Users query *specific* biological concept • View or download single answer • Simple enough, right? ;)

  4. Website Database Database Database

  5. ? Biological Scientist Computer Scientist (Geek)

  6. Problem • Funding starts drying up • Major unresolved database issues • Meeting at the National Center for Ecological Analysis and Synthesis in California • Distributed Generic Information Retrieval (DiGIR) 2001 • Intense requirements engineering session • Need: common data specification • Need: common software architecture • Need: global collaboration

  7. Requirements analysis • Worldwide biological collections contain specimen specific data and collection specific data elements. • Universal standard for an identical element set not realistic or practical • Need a broad element set domain that requires only a small subset to be functional • Institutions need to be able to control their data within a collaborative/distributed environment

  8. Software architecture & design • Incompatible database and access technologies across the globe • Too much invested to redesign or rebuild existing systems • 2.5 billion specimen records worldwide • Adapt existing database systems to be functional in a global distributed network • PAD (Portal, Adapter, Database) existing code • Scalability, maintainability, interoperability, adaptability, usability

  9. HerpNET DiGIR Website (Data Portal) UCB CAS NUS DiGIR Provider (Database Adapter) MySQL Excel Oracle Collections Data

  10. Google Earth (Data Portal) TM NASA ET Data Providers (Database Adapter) Vector Raster Grid Spatial Data

  11. Web 2.0 HerpNET

  12. Limnonectes malesianus(Malesian Frog)

  13. Global Amphibian Assessment Limnonectes malesianus

  14. AmphibiaWEB

  15. BioGeek Culture(Biologists and geeks working together) • Requirements analysis priority • Sharing data (community, education, policy) • Maintaining curator/museum value • Programmer analyst staff • Open source code • Advancing the state of the art in biodiverstiy informatics • Tracking data usage • Dynamic systems engineered for perpetuity

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