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Presentation to Federation of Earth Science Information Partners

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Presentation to Federation of Earth Science Information Partners, semi-annual meeting.

Presentation to Federation of Earth Science Information Partners, semi-annual meeting.

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  • 1. ESIP semi-annual meeting washington, dc 6 january 2009 john wilbanks creative commons / science commons
  • 2. metcalfe’s law
  • 3. “information wants to be free”
  • 4. “if free, and technically enabled, information trends towards connectivity and increased value”
  • 5. information knowledge?
  • 6. digitization changes knowledge journals, databases, ontologies, wikis, annotations...
  • 7. why no disruptions like Metcalfe’s Law for knowledge?
  • 8. disruptive processes can’t be planned in advance.
  • 9. disruptive processes can’t be planned in advance. planned innovation tends to be incremental, and slow.
  • 10. disruptive processes can’t be planned in advance. planned innovation tends to be incremental, and slow. ...and not innovative.
  • 11. 1. stable systems are resistant to change on multiple levels.
  • 12. © creative expression
  • 13. the container, not the facts.
  • 14. the container, not the facts. © locks the container. but
  • 15. IGFBP-5 plays a role in the regulation of cellular senescence via a p53-dependent pathway and in aging-associated vascular diseases
  • 16. IGFBP-5 plays a role in the regulation of cellular senescence via a p53-dependent pathway and in aging-associated vascular diseases
  • 17. indexing: disallowed. http://orpheus-1.ucsd.edu/acq/license/cdlelsevier2004.pdf
  • 18. creative work?
  • 19. 40 minutes per year
  • 20. nih policy.
  • 21. Dorothea Salo, http://cavlec.yarinareth.net/2008/10/31/miniature-disasters-and-minor-catastrophes/
  • 22. the existing system is robust against disruption the existing system is robust against disruption
  • 23. this is how evolved systems resist change: at multiple levels, with multiple fail-safes.
  • 24. 2. the “digital commons” presents us with a potential way out.
  • 25. “the commons”
  • 26. rivalrous v. non-rivalrous
  • 27. small contributions. snap-together licensing. technically enabled.
  • 28. “the commons”
  • 29. “intellectual property”
  • 30. knowledge rights
  • 31. copyright
  • 32. most uses free
  • 33. most regulated uses commercial
  • 34. couldn’t legally control perfectly
  • 35. copyright regulates “copies”
  • 36. in digital world
  • 37. every use = “copy”
  • 38. thus, presumption: every use requires permission
  • 39. Copyright All Rights Reserved No Rights Reserved
  • 40. Copyright All Rights Reserved No Rights Reserved
  • 41. licensing step 1: choose conditions Attribution Share Alike Non-Commercial No Derivative Works
  • 42. Ported to 50 Jurisdictions
  • 43. 160M
  • 44. 160M
  • 45. solves the legal problem
  • 46. but not the container problem.
  • 47. over 200 years at one paper/day
  • 48. what you want is a list of genes. not a list of documents.
  • 49. building a web for data: the “semantic web”
  • 50. databases as unique entities, instead of nodes in a network
  • 51. “packages”
  • 52. scalable aggregation
  • 53. not-software scalable modular
  • 54. lots of people open licenses community norms
  • 55. 3. reports from the front lines: building a commons is really, really hard.
  • 56. whichever we choose, we need some way for computers to help us theorize, and to leverage the work of others (either to build on or to use in creative anarchy)
  • 57. exponential content growth
  • 58. our brain capacity 5.00 3.75 2.50 1.25 0 1990 1994 1998 2002
  • 59. but if we can work together...
  • 60. open copyright, balanced incentives, and distributed workloads
  • 61. Open Access Content
  • 62. c >1000 journals under CC image from the public library of science licensed to the public under CC-BY 3.0
  • 63. running policy code (w. SPARC)
  • 64. + + + is it legal? + + + + +
  • 65. conflicts with the protection instinct
  • 66. conflicts with the protection instinct the protection instinct is sometimes an instinct to protect “freedom”
  • 67. http://visibleearth.nasa.gov/
  • 68. Open Source Data Integration
  • 69. a repository of ontologies, namespaces, and integrated databases.
  • 70. e pluribus unum.
  • 71. we can transform complex queries into links Mesh: Pyramidal Neurons prefix go: <http://purl.org/obo/owl/GO#> prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> prefix owl: <http://www.w3.org/2002/07/owl#> prefix mesh: <http://purl.org/commons/record/mesh/> prefix sc: <http://purl.org/science/owl/sciencecommons/> prefix ro: <http://www.obofoundry.org/ro/ro.owl#> select ?genename ?processname Pubmed: Journal Articles where { graph <http://purl.org/commons/hcls/pubmesh> { ?paper ?p mesh:D017966 . ?article sc:identified_by_pmid ?paper. ?gene sc:describes_gene_or_gene_product_mentioned_by ?article. } graph <http://purl.org/commons/hcls/goa> { ?protein rdfs:subClassOf ?res. Entrez Gene: Genes ?res owl:onProperty ro:has_function. ?res owl:someValuesFrom ?res2. ?res2 owl:onProperty ro:realized_as. ?res2 owl:someValuesFrom ?process. graph <http://purl.org/commons/hcls/20070416/classrelations> {{?process <http://purl.org/obo/owl/obo#part_of> go:GO_0007166} union GO: Signal Transduction {?process rdfs:subClassOf go:GO_0007166 }} ?protein rdfs:subClassOf ?parent. ?parent owl:equivalentClass ?res3. ?res3 owl:hasValue ?gene. } graph <http://purl.org/commons/hcls/gene> { ?gene rdfs:label ?genename } graph <http://purl.org/commons/hcls/20070416> { ?process rdfs:label ?processname} }
  • 72. DRD1, 1812 adenylate cyclase activation ADRB2, 154 adenylate cyclase activation ADRB2, 154 arrestin mediated desensitization of G-protein coupled receptor protein signaling pathway DRD1IP, 50632 dopamine receptor signaling pathway DRD1, 1812 dopamine receptor, adenylate cyclase activating pathway DRD2, 1813 dopamine receptor, adenylate cyclase inhibiting pathway GRM7, 2917 G-protein coupled receptor protein signaling pathway GNG3, 2785 G-protein coupled receptor protein signaling pathway GNG12, 55970 G-protein coupled receptor protein signaling pathway DRD2, 1813 G-protein coupled receptor protein signaling pathway ADRB2, 154 G-protein coupled receptor protein signaling pathway CALM3, 808 G-protein coupled receptor protein signaling pathway HTR2A, 3356 G-protein coupled receptor protein signaling pathway DRD1, 1812 G-protein signaling, coupled to cyclic nucleotide second messenger SSTR5, 6755 G-protein signaling, coupled to cyclic nucleotide second messenger MTNR1A, 4543 G-protein signaling, coupled to cyclic nucleotide second messenger CNR2, 1269 G-protein signaling, coupled to cyclic nucleotide second messenger HTR6, 3362 G-protein signaling, coupled to cyclic nucleotide second messenger GRIK2, 2898 glutamate signaling pathway GRIN1, 2902 glutamate signaling pathway GRIN2A, 2903 glutamate signaling pathway GRIN2B, 2904 glutamate signaling pathway ADAM10, 102 integrin-mediated signaling pathway GRM7, 2917 negative regulation of adenylate cyclase activity LRP1, 4035 negative regulation of Wnt receptor signaling pathway ADAM10, 102 Notch receptor processing ASCL1, 429 Notch signaling pathway HTR2A, 3356 serotonin receptor signaling pathway ADRB2, 154 transmembrane receptor protein tyrosine kinase activation (dimerization) PTPRG, 5793 transmembrane receptor protein tyrosine kinase signaling pathway EPHA4, 2043 transmembrane receptor protein tyrosine kinase signaling pathway NRTN, 4902 transmembrane receptor protein tyrosine kinase signaling pathway CTNND1, 1500 Wnt receptor signaling pathway `
  • 73. we can transform complex queries into links http://hcls1.csail.mit.edu:8890/sparql/?query=prefix%20go%3A%20%3Chttp%3A%2F%2Fpurl.org%2Fobo%2Fowl%2FGO%23%3E%0Aprefix%20rdfs%3A %20%3Chttp%3A%2F%2Fwww.w3.org%2F2000%2F01%2Frdf-schema%23%3E%0Aprefix%20owl%3A%20%3Chttp%3A%2F%2Fwww.w3.org%2F2002% 2F07%2Fowl%23%3E%0Aprefix%20mesh%3A%20%3Chttp%3A%2F%2Fpurl.org%2Fcommons%2Frecord%2Fmesh%2F%3E%0Aprefix%20sc%3A%20% 3Chttp%3A%2F%2Fpurl.org%2Fscience%2Fowl%2Fsciencecommons%2F%3E%0Aprefix%20ro%3A%20%3Chttp%3A%2F%2Fwww.obofoundry.org%2Fro %2Fro.owl%23%3E%0A%0Aselect%20%3Fgenename%20%3Fprocessname%0Awhere%0A%7B%20%20graph%20%3Chttp%3A%2F%2Fpurl.org% 2Fcommons%2Fhcls%2Fpubmesh%3E%0A%20%20%20%20%20%7B%20%3Fpaper%20%3Fp%20mesh%3AD017966%20.%0A%20%20%20%20%20%20% 20%3Farticle%20sc%3Aidentified_by_pmid%20%3Fpaper.%0A%20%20%20%20%20%20%20%3Fgene%20sc% 3Adescribes_gene_or_gene_product_mentioned_by%20%3Farticle.%0A%20%20%20%20%20%7D%0A%20%20%20graph%20%3Chttp%3A%2F% 2Fpurl.org%2Fcommons%2Fhcls%2Fgoa%3E%0A%20%20%20%20%20%7B%20%3Fprotein%20rdfs%3AsubClassOf%20%3Fres.%0A%20%20%20%20% 20%20%20%3Fres%20owl%3AonProperty%20ro%3Ahas_function.%0A%20%20%20%20%20%20%20%3Fres%20owl%3AsomeValuesFrom%20%3Fres2.% 0A%20%20%20%20%20%20%20%3Fres2%20owl%3AonProperty%20ro%3Arealized_as.%0A%20%20%20%20%20%20%20%3Fres2%20owl% 3AsomeValuesFrom%20%3Fprocess.%0A%20%20%20graph%20%3Chttp%3A%2F%2Fpurl.org%2Fcommons%2Fhcls%2F20070416%2Fclassrelations%3E %0A%20%20%20%20%20%7B%7B%3Fprocess%20%3Chttp%3A%2F%2Fpurl.org%2Fobo%2Fowl%2Fobo%23part_of%3E%20go%3AGO_0007166%7D% 0A%20%20%20%20%20%20%20union%0A%20%20%20%20%20%20%7B%3Fprocess%20rdfs%3AsubClassOf%20go%3AGO_0007166%20%7D%7D%0A %20%20%20%20%20%20%20%3Fprotein%20rdfs%3AsubClassOf%20%3Fparent.%0A%20%20%20%20%20%20%20%3Fparent%20owl% 3AequivalentClass%20%3Fres3.%0A%20%20%20%20%20%20%20%3Fres3%20owl%3AhasValue%20%3Fgene.%0A%20%20%20%20%20%20%7D%0A% 20%20%20graph%20%3Chttp%3A%2F%2Fpurl.org%2Fcommons%2Fhcls%2Fgene%3E%0A%20%20%20%20%20%7B%20%3Fgene%20rdfs%3Alabel%20% 3Fgenename%20%7D%0A%20%20%20graph%20%3Chttp%3A%2F%2Fpurl.org%2Fcommons%2Fhcls%2F20070416%3E%0A%20%20%20%20%20%7B% 20%3Fprocess%20rdfs%3Alabel%20%3Fprocessname%7D%0A%7D&format=&maxrows=50
  • 74. we can transform complex queries into links
  • 75. we can help scholars “remix” queries prefix go: <http://purl.org/obo/owl/GO#> prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> prefix owl: <http://www.w3.org/2002/07/owl#> prefix mesh: <http://purl.org/commons/record/mesh/> prefix sc: <http://purl.org/science/owl/sciencecommons/> prefix ro: <http://www.obofoundry.org/ro/ro.owl#> select ?genename ?processname where { graph <http://purl.org/commons/hcls/pubmesh> Mesh: Cancer mesh:D009369 { ?paper ?p . ?article sc:identified_by_pmid ?paper. ?gene sc:describes_gene_or_gene_product_mentioned_by ?article. } graph <http://purl.org/commons/hcls/goa> { ?protein rdfs:subClassOf ?res. ?res owl:onProperty ro:has_function. ?res owl:someValuesFrom ?res2. ?res2 owl:onProperty ro:realized_as. ?res2 owl:someValuesFrom ?process. graph <http://purl.org/commons/hcls/20070416/classrelations> go:GO_0006610} {{?process <http://purl.org/obo/owl/obo#part_of> union GO: Ribosomal Protein go:GO_0006610 }} {?process rdfs:subClassOf ?protein rdfs:subClassOf ?parent. ?parent owl:equivalentClass ?res3. ?res3 owl:hasValue ?gene. } graph <http://purl.org/commons/hcls/gene> { ?gene rdfs:label ?genename } graph <http://purl.org/commons/hcls/20070416> { ?process rdfs:label ?processname} }
  • 76. we can build a corpus of queries as links
  • 77. we can re-use cultural tools for scholarship
  • 78. conclusion?
  • 79. don’t wait.
  • 80. use existing systems.
  • 81. hack around problems.
  • 82. create new ways to measure.
  • 83. build your own commons.
  • 84. thank you wilbanks@creativecommons.org http://sciencecommons.org