1 / 22

Distributed Biodiversity Information Databases

Distributed Biodiversity Information Databases. A. Townsend Peterson. Paris Museum. British Museum. Field Museum. KU Museum. “World Museum”. Fish University of Florida. Fish Tulane University. Fish University of Michigan. Fish “World Museum ”. Making Simple Databases BETTER.

chavi
Download Presentation

Distributed Biodiversity Information Databases

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Distributed Biodiversity Information Databases A. Townsend Peterson

  2. Paris Museum

  3. British Museum

  4. Field Museum

  5. KU Museum

  6. “World Museum”

  7. Fish University of Florida

  8. Fish Tulane University

  9. Fish University of Michigan

  10. Fish “World Museum”

  11. Making Simple Databases BETTER • Georeferencing • Standardization of taxonomy • Error-detection and cleaning • Integration with the ‘World Museum’

  12. Data Sharing - Issues of Importance • Security • Ownership • Control • Updates of information • Funding and charging

  13. Safeguards I • Legal disclaimer: • No for-profit uses without permission of data owners (curators) • No repackaging and redistribution without permission of data owners (curators) • Data owners not responsible for data quality or accuracy • Negative data do not apply – absence of records is not indicative of absence of species, etc.

  14. Safeguards II • Data remain at the owner institution – no centralization involved • No hacking – data are isolated from the original/master dataset • Institutions may restrict access to classes of data, e.g., • Data from particular regions or taxa not served • Particular fields for sensitive species not served • Data for particular collectors or time periods not served • Etc.

  15. Advantages • Data ownership retained by institution that holds primary voucher specimen • Data are updated as often as wished … daily, if preferred by owner institution • Data quality improves over time • Detailed reporting of use of collections data to data owners (soon!) • Free and open access to users worldwide • Community cooperation opens many doors

  16. Construction of the NABIN Network

  17. Construction of the NABIN Network

  18. TSA Use I

  19. Evolution of Technology • Dublin Core/Darwin Core • Z39.50 • DiGIR • TAPIR

  20. DiGIR • Distributed Generic Information Retrieval • http://digir.sourceforge.net/

  21. Distributed Biodiversity Information Networks • REMIB http://www.conabio.gob.mx/ • SpeciesLink http://splink.cria.org.br/ • MaNIS http://elib.cs.berkeley.edu/manis/ • HerpNET http://www.herpnet.org/ • ORNIS http://ornisnet.org/ • AVH http://www.chah.gov.au/avh/ • GBIF http://www.gbif.net/ • ATREE http://www.ecoinfoindia.org

  22. Taxonomic data Scientific literature Gene sequence data ☺ Recordings, images, videos Stable isotope data ☺ Primary Species’ Occurrence Data ☺ Field notes, other ancillary information Parasites etc. ☺ Stomach contents, etc. Geospatial data describing locality Remote-sensing data showing locality in space and time

More Related