Successfully reported this slideshow.
Your SlideShare is downloading. ×

Reengineering the scientific research paper

Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Loading in …3
×

Check these out next

1 of 67 Ad

More Related Content

Similar to Reengineering the scientific research paper (20)

More from Anita de Waard (20)

Advertisement

Recently uploaded (20)

Reengineering the scientific research paper

  1. 1. Stories, that persuade with data. What’s inside scientific papers, and should it be reengineered? Anita de Waard, a.dewaard@elsevier.com Disruptive Technologies Director, Elsevier Labs
  2. 2. Scientific papers are stories, that persuade with data. The Story of Goldilocks and Story Part Paper The AXH Domain of Ataxin-1 Mediates the Three Bears Neurodegeneration through Its Interaction with Gfi-1/ Senseless Proteins Once upon a time Time Setting Background The mechanisms mediating SCA1 pathogenesis are still not fully understood, but some general principles have emerged. a little girl named Goldilocks Characters Objects of study the Drosophila Atx-1 homolog (dAtx-1) which lacks a polyQ tract, She went for a walk in the forest. Location Experimental studied and compared in vivo effects and interactions to those of the Pretty soon, she came upon a house. setup human protein She knocked and, when no one Goal Theme Research Gain insight into how Atx-1's function contributes to SCA1 answered, goal pathogenesis. How these interactions might contribute to the disease process and how they might cause toxicity in only a subset of neurons in she walked right in. Attempt Hypothesis SCA1 may play a role in the regulation of gene expression Atx-1 is not fully understood. At the table in the kitchen, there Name Episode 1 Name dAtX-1 and hAtx-1 Induce Similar Phenotypes When Overexpressed in were three bowls of porridge. Files Goldilocks was hungry. Subgoal Subgoal test the function of the AXH domain She tasted the porridge from the Attempt Method overexpressed dAtx-1 in flies using the GAL4/UAS system (Brand and first bowl. Perrimon, 1993) and compared its effects to those of hAtx-1. This porridge is too hot! she Outcome Results Overexpression of dAtx-1 by Rhodopsin1(Rh1)-GAL4, which drives exclaimed. expression in the differentiated R1-R6 photoreceptor cells (Mollereau et al., 2000 and O'Tousa et al., 1985), results in neurodegeneration in the eye, as does overexpression of hAtx-1[82Q]. Although at 2 days after eclosion, overexpression of either Atx-1 does not show obvious So, she tasted the porridge from the Activity Data (data not shown), morphological changes in the photoreceptor cells second bowl. This porridge is too cold, she said Outcome Results both genotypes show many large holes and loss of cell integrity at 28 days So, she tasted the last bowl of Activity Data (Figures 1B-1D). porridge. Ahhh, this porridge is just right, she Outcome Results Overexpression of dAtx-1 using the GMR-GAL4 driver also induces eye said happily and abnormalities. The external structures of the eyes that overexpress she ate it all up. Outcome Data dAtx-1 1F), disorganized ommatidia and loss of interommatidial bristles (Figure show
  3. 3. Scientific papers are stories, that persuade with data. The Story of Goldilocks and Story Part Paper The AXH Domain of Ataxin-1 Mediates the Three Bears Neurodegeneration through Its Interaction with Gfi-1/ Senseless Proteins Once upon a time Time Setting Background The mechanisms mediating SCA1 pathogenesis are still not fully understood, but some general principles have emerged. a little girl named Goldilocks Characters Objects of study the Drosophila Atx-1 homolog (dAtx-1) which lacks a polyQ tract, She went for a walk in the forest. Location Experimental studied and compared in vivo effects and interactions to those of the Pretty soon, she came upon a house. setup human protein She knocked and, when no one Goal Theme Research Gain insight into how Atx-1's function contributes to SCA1 answered, goal pathogenesis. How these interactions might contribute to the disease process and how they might cause toxicity in only a subset of neurons in she walked right in. Attempt Hypothesis SCA1 may play a role in the regulation of gene expression Atx-1 is not fully understood. At the table in the kitchen, there Name Episode 1 Name dAtX-1 and hAtx-1 Induce Similar Phenotypes When Overexpressed in were three bowls of porridge. Files Goldilocks was hungry. Subgoal Subgoal test the function of the AXH domain She tasted the porridge from the Attempt Method overexpressed dAtx-1 in flies using the GAL4/UAS system (Brand and first bowl. Perrimon, 1993) and compared its effects to those of hAtx-1. This porridge is too hot! she Outcome Results Overexpression of dAtx-1 by Rhodopsin1(Rh1)-GAL4, which drives exclaimed. expression in the differentiated R1-R6 photoreceptor cells (Mollereau et al., 2000 and O'Tousa et al., 1985), results in neurodegeneration in the eye, as does overexpression of hAtx-1[82Q]. Although at 2 days after eclosion, overexpression of either Atx-1 does not show obvious So, she tasted the porridge from the Activity Data (data not shown), morphological changes in the photoreceptor cells second bowl. This porridge is too cold, she said Outcome Results both genotypes show many large holes and loss of cell integrity at 28 days So, she tasted the last bowl of Activity Data (Figures 1B-1D). porridge. Ahhh, this porridge is just right, she Outcome Results Overexpression of dAtx-1 using the GMR-GAL4 driver also induces eye said happily and abnormalities. The external structures of the eyes that overexpress she ate it all up. Outcome Data dAtx-1 1F), disorganized ommatidia and loss of interommatidial bristles (Figure show
  4. 4. Story analysis of scientific text: ORB vs. Medium-grained structure
  5. 5. Story analysis of scientific text: ORB vs. Medium-grained structure See work at http://www.w3.org/wiki/HCLSIG/SWANSIOC
  6. 6. Episode-level access through Linked Data standards:
  7. 7. Episode-level access through Linked Data standards: said @anita on April 5, 2011 this says <ce:section id=#123> mice like cheese
  8. 8. Episode-level access through Linked Data standards: but we all know she was deluded then said @anita on April 5, 2011 this says <ce:section id=#123> mice like cheese
  9. 9. Episode-level access through Linked Data standards: the xml is fixed, but the structure is open! allows for layers of annotation but we all know she was deluded then said @anita on April 5, 2011 this says <ce:section id=#123> mice like cheese
  10. 10. Satellite Format: Linked Data repository for all Elsevier content
  11. 11. Satellite Format: Linked Data repository for all Elsevier content Dublin Core and SKOS
  12. 12. Satellite Format: Linked Data repository for all Elsevier content Dublin Core and SKOS SWAN’s PAV (Provenance, Authoring and Versioning) ontology
  13. 13. Scientific papers are stories, that persuade with data. Both seminomas and the EC component of nonseminomas share features with ES cells. To exclude that the detection of miR-371-3 merely reflects its expression pattern in ES cells, we tested by RPA miR-302a-d, another ES cells-specific miRNA cluster (Suh et al, 2004). In many of the miR-371-3 expressing seminomas and nonseminomas, miR-302a-d was undetectable (Figs S7 and S8), suggesting that miR-371-3 expression is a selective event during tumorigenesis.
  14. 14. Scientific papers are stories, that persuade with data. Both seminomas and the EC component of Both seminomas and the EC component of nonseminomas share features with ES cells. nonseminomas share features with ES cells. To exclude thatthat detection of miR-371-3 merely To exclude the reflects its expression pattern in ES cells,reflects its the detection of miR-371-3 merely we tested by RPA miR-302a-d, another ES cells-specific expression pattern in ES cells, miRNA cluster RPA miR-302a-d, another ES cells- we tested by (Suh et al, 2004). In many of the m i R - 3 7 miRNAx p r e s s(Suh et e m2004). a s a n d specific 1 - 3 e cluster i n g s al, i n o m nonseminomas, miR-302a-d was undetectable (Figs In many of the miR-371-3 expressing seminomas S7 and S8), suggesting that miR-371-3undetectable and nonseminomas, miR-302a-d was expression is a selective event during tumorigenesis. (Figs S7 and S8), suggesting that miR-371-3 expression is a selective event during tumorigenesis.
  15. 15. Scientific papers are stories, that persuade with data. Both seminomas and the EC component of Both seminomas and the EC component of Fact nonseminomas share features with ES cells. nonseminomas share features with ES cells. To exclude thatthat detection of miR-371-3 merely To exclude the Goal reflects its expression pattern in ES cells,reflects its the detection of miR-371-3 merely we tested Hypothesis by RPA miR-302a-d, another ES cells-specific expression pattern in ES cells, miRNA cluster RPA miR-302a-d, another ES cells- we tested by (Suh et al, 2004). In many of the m i R - 3 7 miRNAx p r e s s(Suh et e m2004). a s a n d specific 1 - 3 e cluster i n g s al, i n o m Method nonseminomas, miR-302a-d was undetectable (Figs In many of the miR-371-3 expressing seminomas S7 and S8), suggesting that miR-371-3undetectable and nonseminomas, miR-302a-d was expression Result is a selective event during tumorigenesis. (Figs S7 and S8), suggesting that Reg-Implication miR-371-3 expression is a selective event during Implication tumorigenesis.
  16. 16. Scientific papers are stories, that persuade with data. Conceptual Both seminomas and the EC component of Both seminomas and the EC component of knowledge Fact nonseminomas share features with ES cells. nonseminomas share features with ES cells. To exclude thatthat detection of miR-371-3 merely To exclude the Goal reflects its expression pattern in ES cells,reflects its the detection of miR-371-3 merely we tested Hypothesis by RPA miR-302a-d, another ES cells-specific expression pattern in ES cells, miRNA cluster RPA miR-302a-d, another ES cells- we tested by (Suh et al, 2004). In many of the m i R - 3 7 miRNAx p r e s s(Suh et e m2004). a s a n d specific 1 - 3 e cluster i n g s al, i n o m Method nonseminomas, miR-302a-d was undetectable (Figs In many of the miR-371-3 expressing seminomas S7 and S8), suggesting that miR-371-3undetectable and nonseminomas, miR-302a-d was expression Result is a selective event during tumorigenesis. (Figs S7 and S8), suggesting that Reg-Implication miR-371-3 expression is a selective event during Implication tumorigenesis.
  17. 17. Scientific papers are stories, that persuade with data. Conceptual Both seminomas and the EC component of Both seminomas and the EC component of knowledge Fact nonseminomas share features with ES cells. nonseminomas share features with ES cells. To exclude thatthat detection of miR-371-3 merely To exclude the Goal reflects its expression pattern in ES cells,reflects its the detection of miR-371-3 merely we tested Hypothesis by RPA miR-302a-d, another ES cells-specific expression pattern in ES cells, miRNA cluster RPA miR-302a-d, another ES cells- we tested by (Suh et al, 2004). In many of the m i R - 3 7 miRNAx p r e s s(Suh et e m2004). a s a n d specific 1 - 3 e cluster i n g s al, i n o m Method Experimental nonseminomas, miR-302a-d was undetectable (Figs In many of the miR-371-3 expressing seminomas Evidence S7 and S8), suggesting that miR-371-3undetectable and nonseminomas, miR-302a-d was expression Result is a selective event during tumorigenesis. (Figs S7 and S8), suggesting that Reg-Implication miR-371-3 expression is a selective event during Implication tumorigenesis.
  18. 18. Realms of persuasive experimental discourse:
  19. 19. Realms of persuasive experimental discourse: (1) Both seminomas (2) b. the detection of (3) c. miR-371-3 and the EC component miR-371-3 merely expression is a of nonseminomas share reflects its expression selective event during features with ES cells. pattern in ES cells, tumorigenesis. (2) a. To exclude that (3) b. suggesting that (2) c. we tested by RPA (3) a. In many of the miR-371-3 miR-302a-d, another ES expressing seminomas and cells-specific miRNA cluster nonseminomas, miR-302a-d was (Suh et al, 2004). undetectable (Figs S7 and S8),
  20. 20. Realms of persuasive experimental discourse: Concepts, models, ‘facts’ (1) Both seminomas (2) b. the detection of (3) c. miR-371-3 and the EC component miR-371-3 merely expression is a of nonseminomas share reflects its expression selective event during features with ES cells. pattern in ES cells, tumorigenesis. (2) a. To exclude that Transitions (3) b. suggesting that (2) c. we tested by RPA (3) a. In many of the miR-371-3 miR-302a-d, another ES expressing seminomas and cells-specific miRNA cluster nonseminomas, miR-302a-d was (Suh et al, 2004). undetectable (Figs S7 and S8), Experiment
  21. 21. Realms of persuasive experimental discourse: Concepts, models, ‘facts’ ‘State’ present tense (1) Both seminomas (2) b. the detection of (3) c. miR-371-3 and the EC component miR-371-3 merely expression is a of nonseminomas share reflects its expression selective event during features with ES cells. pattern in ES cells, tumorigenesis. (2) a. To exclude that Transitions (3) b. suggesting that (2) c. we tested by RPA (3) a. In many of the miR-371-3 miR-302a-d, another ES expressing seminomas and cells-specific miRNA cluster nonseminomas, miR-302a-d was (Suh et al, 2004). undetectable (Figs S7 and S8), Experiment ‘Narrative’ past tense
  22. 22. Fact creation through citations: Voorhoeve et al, Cell, 2006: To investigate the possibility that miR-372 and miR-373 suppress the expression of LATS2, we... Therefore, these results point to LATS2 as a mediator of the miR-372 and miR-373 effects on cell proliferation and tumorigenicity,
  23. 23. Fact creation through citations: Voorhoeve et al, Cell, 2006: To investigate the possibility that miR-372 and miR-373 suppress the Hypothesis expression of LATS2, we... Therefore, these results point to LATS2 as a mediator of the miR-372 and miR-373 effects on cell proliferation and tumorigenicity,
  24. 24. Fact creation through citations: Voorhoeve et al, Cell, 2006: To investigate the possibility that miR-372 and miR-373 suppress the Hypothesis expression of LATS2, we... Therefore, these results point to LATS2 as a mediator of the miR-372 and miR-373 effects on cell proliferation and tumorigenicity, Implication
  25. 25. Fact creation through citations: Voorhoeve et al, Cell, 2006: To investigate the possibility that miR-372 and miR-373 suppress the Hypothesis expression of LATS2, we... Therefore, these results point to LATS2 as a mediator of the miR-372 and miR-373 effects on cell proliferation and tumorigenicity, Implication Raver-Shapira et.al, JMolCell 2007 ... two miRNAs, miRNA-372 and-373, function as potential novel oncogenes in testicular germ cell tumors by inhibition of LATS2 expression, which suggests that Lats2 is an important tumor suppressor (Voorhoeve et al., 2006).
  26. 26. Fact creation through citations: Voorhoeve et al, Cell, 2006: To investigate the possibility that miR-372 and miR-373 suppress the Hypothesis expression of LATS2, we... Therefore, these results point to LATS2 as a mediator of the miR-372 and miR-373 effects on cell proliferation and tumorigenicity, Implication Raver-Shapira et.al, JMolCell 2007 Cited Implication ... two miRNAs, miRNA-372 and-373, function as potential novel oncogenes in testicular germ cell tumors by inhibition of LATS2 expression, which suggests that Lats2 is an important tumor suppressor (Voorhoeve et al., 2006).
  27. 27. Fact creation through citations: Voorhoeve et al, Cell, 2006: To investigate the possibility that miR-372 and miR-373 suppress the Hypothesis expression of LATS2, we... Therefore, these results point to LATS2 as a mediator of the miR-372 and miR-373 effects on cell proliferation and tumorigenicity, Implication Raver-Shapira et.al, JMolCell 2007 Cited Implication ... two miRNAs, miRNA-372 and-373, function as potential novel oncogenes in testicular germ cell tumors by inhibition of LATS2 expression, which suggests that Lats2 is an important tumor suppressor (Voorhoeve et al., 2006). Yabuta, JBioChem 2007: miR-372 and miR-373 target the Lats2 tumor suppressor (Voorhoeve et al., 2006)
  28. 28. Fact creation through citations: Voorhoeve et al, Cell, 2006: To investigate the possibility that miR-372 and miR-373 suppress the Hypothesis expression of LATS2, we... Therefore, these results point to LATS2 as a mediator of the miR-372 and miR-373 effects on cell proliferation and tumorigenicity, Implication Raver-Shapira et.al, JMolCell 2007 Cited Implication ... two miRNAs, miRNA-372 and-373, function as potential novel oncogenes in testicular germ cell tumors by inhibition of LATS2 expression, which suggests that Lats2 is an important tumor suppressor (Voorhoeve et al., 2006). Yabuta, JBioChem 2007: Fact miR-372 and miR-373 target the Lats2 tumor suppressor (Voorhoeve et al., 2006)
  29. 29. “[Y]ou can transform a fact into fiction or a fiction into fact just by adding or subtracting references [and data]” – Bruno Latour, ‘Science in Action’,1987
  30. 30. “[Y]ou can transform a fact into fiction or a fiction into fact just by adding or subtracting references [and data]” – Bruno Latour, ‘Science in Action’,1987
  31. 31. How is this rhetoric instantiated? Rhetorical Utterance {Proposition} S= V= goal H, B C, E Indicate lack of {The role of untranslated exons in the CCR3 gene} NN 0 knowledge has not been studied. Evaluate other Recently, CCR3 has been shown to {be N, D 3 work upregulated on neutrophils by interferons in vitro [..]} Offer it is thought that {these transcription factors NN, R 2 hypotheses affect transcription of the gene through interactions with the RNA transcription complex.} Interpret results these data suggested that {5' untranslated exon A, D 2 1 may have a regulatory function.} Assess validity Since {this was not the case with other lines,} {we A, D 1 of suspect {it is integration-site specific}} interpretations State While we expected {the transcript to be about 1 A, D 2, S+ correspondence kb in size (Figure 4A),} {two bands ~4 and 5 kb were to expectations apparent.} Comparison to It is important that {this data be viewed A,R/ 2, F+ other work with {what is known about other myeloid- NN/ specific promoters,}} D
  32. 32. Eventually: trace roots of a claim: how many independent data points is it based on? 11
  33. 33. Eventually: trace roots of a claim: how many independent data points is it based on? PHC undergo Growth arrest 11
  34. 34. Eventually: trace roots of a claim: how many independent data points is it based on? PHC undergo Growth arrest Paper A: implication method fact goal fact results data 1 data 2 data 3 11
  35. 35. Eventually: trace roots of a claim: how many independent data points is it based on? PHC undergo Growth arrest Paper A: Paper B: implication implication method fact method fact goal fact goal fact results results data 1 data 4 data 2 data 3 data 5 data 6 11
  36. 36. Eventually: trace roots of a claim: how many independent data points is it based on? PHC undergo Growth arrest Paper A: Paper B: implication implication method fact method fact goal fact goal fact results results data 1 data 4 data 2 data 3 data 5 data 6 11
  37. 37. Eventually: trace roots of a claim: how many independent data points is it based on? PHC undergo Growth arrest Paper A: Paper B: implication implication method fact method fact goal fact goal fact results results data 1 data 4 data 2 data 3 data 5 data 6 11
  38. 38. Eventually: trace roots of a claim: how many independent data points is it based on? PHC undergo Growth arrest Paper A: Paper B: implication implication g nnin method fact rpi method de fact un goal fact goal fact results results data 1 data 4 data 2 data 3 data 5 data 6 11
  39. 39. Eventually: trace roots of a claim: how many independent data points is it based on? PHC undergo Growth arrest Paper A: Paper B: implication implication method fact method fact goal fact goal fact results results data 1 data 4 data 2 data 3 data 5 data 6 11
  40. 40. Eventually: trace roots of a claim: how many independent data points is it based on? PHC undergo Growth arrest Paper A: Paper B: implication implication method method link fact method fact goal fact goal fact results results data 1 data 4 data 2 data 3 data 5 data 6 11
  41. 41. Scientific papers are stories, that persuade with data.
  42. 42. Scientific papers are stories, that persuade with data.
  43. 43. Scientific papers are stories, that persuade with data.
  44. 44. Sometimes the link to data is good:
  45. 45. And sometimes it’s not so good:
  46. 46. And sometimes it’s not so good:
  47. 47. And sometimes it’s not so good:
  48. 48. And sometimes it’s not so good:
  49. 49. Data-driven papers? Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan
  50. 50. Data-driven papers? Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan 1. Research: Each item in the system has metadata metadata (including provenance) and relations to other data items metadata added to it. metadata metadata metadata
  51. 51. Data-driven papers? Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan 1. Research: Each item in the system has metadata metadata (including provenance) and relations to other data items metadata added to it. 2. Workflow: All data items created in the lab are added metadata to a (lab-owned) workflow system. metadata metadata
  52. 52. Data-driven papers? Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan 1. Research: Each item in the system has metadata metadata (including provenance) and relations to other data items metadata added to it. 2. Workflow: All data items created in the lab are added metadata to a (lab-owned) workflow system. 3. Authoring: A paper is written in an authoring tool which can pull data with provenance from the workflow tool in the appropriate representation into the document. metadata metadata Rats were subjected to two grueling tests (click on fig 2 to see underlying data). These results suggest that the neurological pain pro-
  53. 53. Data-driven papers? Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan 1. Research: Each item in the system has metadata metadata (including provenance) and relations to other data items metadata added to it. 2. Workflow: All data items created in the lab are added metadata to a (lab-owned) workflow system. 3. Authoring: A paper is written in an authoring tool which can pull data with provenance from the workflow tool in the appropriate representation into the document. metadata 4. Editing and review: Once the co-authors agree, the paper is ‘exposed’ to the editors, who in turn expose it to metadata reviewers. Reports are stored in the authoring/editing system, the paper gets updated, until it is validated. Rats were subjected to two grueling tests (click on fig 2 to see underlying data). These results suggest that the neurological pain pro- Review Revise Edit
  54. 54. Data-driven papers? Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan 1. Research: Each item in the system has metadata metadata (including provenance) and relations to other data items metadata added to it. 2. Workflow: All data items created in the lab are added metadata to a (lab-owned) workflow system. 3. Authoring: A paper is written in an authoring tool which can pull data with provenance from the workflow tool in the appropriate representation into the document. metadata 4. Editing and review: Once the co-authors agree, the paper is ‘exposed’ to the editors, who in turn expose it to metadata reviewers. Reports are stored in the authoring/editing system, the paper gets updated, until it is validated. 5. Publishing and distribution: When a paper is published, a collection of validated information is exposed to the world. It remains connected to its related Rats were subjected to two grueling data item, and its heritage can be traced. tests (click on fig 2 to see underlying data). These results suggest that the neurological pain pro- Review Revise Edit
  55. 55. Data-driven papers? Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan 1. Research: Each item in the system has metadata metadata (including provenance) and relations to other data items metadata added to it. 2. Workflow: All data items created in the lab are added metadata to a (lab-owned) workflow system. 3. Authoring: A paper is written in an authoring tool which can pull data with provenance from the workflow tool in the appropriate representation into the document. metadata 4. Editing and review: Once the co-authors agree, the paper is ‘exposed’ to the editors, who in turn expose it to metadata reviewers. Reports are stored in the authoring/editing system, the paper gets updated, until it is validated. 5. Publishing and distribution: When a paper is published, a collection of validated information is exposed to the world. It remains connected to its related Rats were subjected to two grueling data item, and its heritage can be traced. tests (click on fig 2 to see underlying 6. User applications: distributed applications run on this data). These results suggest that the ‘exposed data’ universe. neurological pain pro- Some other publisher Review Revise Edit
  56. 56. One step: encouraging submission of structured workflows
  57. 57. Another step: ScienceDirect app store
  58. 58. Another step: ScienceDirect app store - Eclipse SDK platform accessing all ScienceDirect/Scopus content - Build applications on top of content - Offer to users in marketplace
  59. 59. A third step: Executable Paper Challenge Goal: invite computer science community to help develop formats that: - add executable files and reproducible data to computer science papers; - handle storage and validation of very large files - help validation of data and code, and decrease the reviewer’s workload
  60. 60. A third step: Executable Paper Challenge Goal: invite computer science community to help develop formats that: - add executable files and reproducible data to computer science papers; - handle storage and validation of very large files - help validation of data and code, and decrease the reviewer’s workload
  61. 61. In Summary:
  62. 62. In Summary: 1. Stories: - ORB, Satellite: link to any part of content - bring it on!
  63. 63. In Summary: 1. Stories: - ORB, Satellite: link to any part of content - bring it on! 2. Persuasion: - Logical structure for biological propositions; trace a claim through successive citations
  64. 64. In Summary: 1. Stories: - ORB, Satellite: link to any part of content - bring it on! 2. Persuasion: - Logical structure for biological propositions; trace a claim through successive citations 3. Data: - Better data linking, better structuring of methods.
  65. 65. In Summary: 1. Stories: - ORB, Satellite: link to any part of content - bring it on! 2. Persuasion: - Logical structure for biological propositions; trace a claim through successive citations 3. Data: - Better data linking, better structuring of methods. In conclusion: is the research paper going away?
  66. 66. In Summary: 1. Stories: - ORB, Satellite: link to any part of content - bring it on! 2. Persuasion: - Logical structure for biological propositions; trace a claim through successive citations 3. Data: - Better data linking, better structuring of methods. In conclusion: is the research paper going away? I don’t think so! But it will be: - Structured better: authors will need to justify claims directly - Connected better: more traceable, better links to data and workflow components, and to other work
  67. 67. Thank you! W3C group on Discourse Structure: http://www.w3.org/wiki/HCLSIG/SWANSIOC SciVerse: http://developer.sciverse.com Pangea project: http://bit.ly/98haOw Parsing rhetoric: http://elsatglabs.com/labs/anita/ Fact creation demo: http://elsatglabs.com/labs/anita/demos/ LATSDemo102007/ Methods Navigator: http://www.methodsnavigator.com SciVerse APIs: http://developer.sciverse.com Executable Paper Challenge: http://www.executablepapers.com Or mail me at: Anita de Waard, a.dewaard@elsevier.com

×