@rdmpagehttp://iphylo.blogspot.comMaking data sticky
Data
More data is good…
…but this data is not sticky
Location
Tagsname              name
name   Namen
Identifiers
Shared identifiers are sticky
Identifiers• Globally unique• Resolvable (human and machine)• Used
Identifiers• http://dx.doi.org/10.1186/1471-2105-12-187  Extracting scientific articles from a large digital  archive: Bio...
Links
PMID:948206
http://biostor.org/reference/102054
http://data.gbif.org/occurrences/215921922/
BHL and GBIF as biomedical databaseshttp://iphylo.blogspot.co.uk/2012/03/bhl-and-gbif-as-biomedical-databases.html
Metrics
In an attempt to live up to that increasingdemand for documentation, the leadership ofthe Natural History Museum of Denmar...
https://twitter.com/#!/search/10.1371%252Fjournal.pone.0036881
https://twitter.com/edwbaker/status       /205595933159858176 https://twitter.com/edwbaker/status/205595933159858176
http://www.museum-analytics.org/
Cited, linkable specimens            NMNH Vertebrate Zoology                                                              ...
The value is in the links, not the nodes
Summary• Make your data sticky…• …by using other people’s identifiers• Shared identifiers create links…• …which enable dis...
Making data sticky
Making data sticky
Making data sticky
Making data sticky
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Making data sticky

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Talk given at GBIF workshop at Kew Gardens 28 May 2012

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  • http://markmail.org/message/opv2we7fkmro2nen
  • Making data sticky

    1. @rdmpagehttp://iphylo.blogspot.comMaking data sticky
    2. Data
    3. More data is good…
    4. …but this data is not sticky
    5. Location
    6. Tagsname name
    7. name Namen
    8. Identifiers
    9. Shared identifiers are sticky
    10. Identifiers• Globally unique• Resolvable (human and machine)• Used
    11. Identifiers• http://dx.doi.org/10.1186/1471-2105-12-187 Extracting scientific articles from a large digital archive: BioStor and the Biodiversity Heritage Library• http://dx.doi.org/10.5061/dryad.3pc64 Nexus file with the characters-taxa matrix used for the phylogenetic analysis• http://dx.doi.org/10.1601/nm.5037 Halobacillus
    12. Links
    13. PMID:948206
    14. http://biostor.org/reference/102054
    15. http://data.gbif.org/occurrences/215921922/
    16. BHL and GBIF as biomedical databaseshttp://iphylo.blogspot.co.uk/2012/03/bhl-and-gbif-as-biomedical-databases.html
    17. Metrics
    18. In an attempt to live up to that increasingdemand for documentation, the leadership ofthe Natural History Museum of Denmark hasissued an order to its curatorial staff - Thestaff members are requested to documentwhich publications from 2011, writtenentirely by external scientists, that in one wayor another are based on material in thecollections of the Museum. @TAXACOM http://markmail.org/message/opv2we7fkmro2nen
    19. https://twitter.com/#!/search/10.1371%252Fjournal.pone.0036881
    20. https://twitter.com/edwbaker/status /205595933159858176 https://twitter.com/edwbaker/status/205595933159858176
    21. http://www.museum-analytics.org/
    22. Cited, linkable specimens NMNH Vertebrate Zoology 11194 Herpetology Collections Herpetology Collection (University of Kansas Biodiversity Research 9619 Center) CAS Herpetology Collection Catalog 6720 MCZ Herpetology Collection 5818http://iphylo.blogspot.co.uk/2012/02/gbif-specimens-in-biostor-who-are-top.html
    23. The value is in the links, not the nodes
    24. Summary• Make your data sticky…• …by using other people’s identifiers• Shared identifiers create links…• …which enable discovery (and metrics)• Value is in the links (think Google, Facebook)

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