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Metadata
Data
Metadata
repository
Name IndexOccurrence Index
Yellow PagesRegional Atlas
Annotation Tools
Biosecurity Portal
Analysis Tools
Products
LaSalle, 2008. Atlas of Living Australia, ICE2008 presentation](https://image.slidesharecdn.com/damolindatabasesecn2012-130910160907-phpapp02/85/Da-molin-databases_ecn_2012-10-320.jpg)
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Da molin databases_ecn_2012
- 1. Biodiversity DataBiodiversity Data vs. the Web 2.0vs. the Web 2.0 OR How I learned to stop worrying and love the “systems” Ana Dal Molin J. B. Woolley Texas A&M University
- 3. [ Why this talk ]
- 4. • Data providers • Aggregators • Tools • etc “growth in bioinformatics data exceeded Moore’s Law, the well- known observation that the number of transistors on a chip doubles every 18 months.” (Butte, 2001, TRENDS in Biotechnology 19(5)) • Johnson, N. 2007. Annual Rev. Entomology • http://www.ala.org.au/about-the-atlas/downloadable-tools/tools-review/ • IDigBio 47*
- 5. [ what do I use? ]
- 6. • Museums often have already decided on a model/database system • Each researcher, on the other hand, may not have, so questions – Content management systems (CMS)? – Which output? – Stability? – Best practices?
- 7. ‘systems’ available • First Generation: desktop-based (MS Access, FileMaker) • Second Generation: desktop-based with web output • Third Generation: content management systems (PHP, Ruby, MySql, etc.)
- 9. Your data on the ‘net • Reach • Model GBIF species distribution data coverage (2010)
- 10. [ ? ] Metadata Data Metadata repository Name IndexOccurrence Index Yellow PagesRegional Atlas Annotation Tools Biosecurity Portal Analysis Tools Products LaSalle, 2008. Atlas of Living Australia, ICE2008 presentation
- 11. [ where do I stand? ]
- 12. • Taxonomy as 2-natured science • Shifts in media format
- 13. Web 1.0 -> Web 3.0 1.0: Static HTML, e-mail, forums, chat 2.0: Dynamic HTML, Wikis, blogging, commenting, social networking 3.0: … *You and your work are not invisible before publication*
- 14. • Web 3.0: – “Social” – Tags – Cloud computing – Ubiquitous connectivity – Open technologies, open data formats (and open identity too) – Publishing in languages specifically designed for data (databases, markup) – Semantic web – Marketing
- 16. • What the user wants • What you have to deal with * *not done!
- 17. Think it through
- 18. Books Gutenberg Gutenberg Project WordCat Hashi Trust
- 19. The way we collect information is different The way we accumulate information is different The way we understand information is different
- 20. … or not Jan/2012 33%USA, 20% Brazil, 26% Europe (Germany, Sweden, Spain, Greece, UK)
- 22. 1.0 2.0
- 23. • Web 3.0 1. People lie 2. People are lazy 3. People are stupid 4. Mission: impossible – know thyself 5. Schemas aren’t neutral 6. Metrics influence results 7. There’s more than one way to describe something C. Doctorow, Metacrap, 2001
- 24. Issues • “Unification”* is not going to happen – curators and researchers will always have their own – (although often largely overlapping) set of crucial information fields which can be cross-linked • These days, it is imperative that databases communicate with each other • ‘unitary taxonomy’ is also not possible and any big database needs to allow the system to display conflicting ideas * Thomas, C. “Biodiversity databases spread, prompting unification call”, Science v. 325 (2009) ** http://hymao.org
- 25. Data ephemerality • Local vs. Web data ?! Source: Wikipedia, “Science 2.0”
- 26. Data ephemerality • Digital data preservation: Internet Archive, IIPC • Library of Congress discussions and recommendations – Disclosure, Adoption, Transparency , External dependency, Technical protection • http://www.digitalpreservation.gov/formats
- 29. User perspective “Incomplete” sites Dynamic information Selective information?
- 30. Why I am not a luddite:
- 31. Online databases are taxonomic product and marketing for your work Online biodiversity databases complement your work But it’s up to you to be able to make the user understand that your work is more than that The user of online databases is probably not the same as the person who will get your paper
- 32. summing up • Choose the system based on reports you want/need to deliver
- 33. … or work with a journal/team that can help you • Make sure the system is flexible enough in your hands • Decide who will do the maintenance of your data – How big is your team? – Fluidity (positive and negative) • Think about stability and backup strategies
- 34. Thanks!!