CHARMe and the NCPP group
- 1. The CHARMe Project Raquel Alegre Meeting with the NCPP group 9th and 10th April 2014 – Boulder, CO Scientific S/W Engineer University of Reading, UK
- 2. Summary
- 3. • Introduction to CHARMe Summary
- 4. • Introduction to CHARMe • Use of W3C Open Annotation data model Summary
- 5. • Introduction to CHARMe • Use of W3C Open Annotation data model • Basic Use Case Summary
- 6. • Introduction to CHARMe • Use of W3C Open Annotation data model • Basic Use Case • Advanced Use Cases Summary
- 7. • Introduction to CHARMe • Use of W3C Open Annotation data model • Basic Use Case • Advanced Use Cases • CHARMe tools Summary
- 8. • Introduction to CHARMe • Use of W3C Open Annotation data model • Basic Use Case • Advanced Use Cases • CHARMe tools • NCPP + CHARMe Summary
- 10. Introduction to CHARMe Post-fact annotations
- 11. Introduction to CHARMe Post-fact annotations External events
- 12. Introduction to CHARMe Post-fact annotations External events Data Provenance
- 13. Introduction to CHARMe Post-fact annotations External events Data Provenance User feedback
- 14. Introduction to CHARMe Post-fact annotations External events Data Provenance User feedback Data policy
- 15. Introduction to CHARMe Post-fact annotations External events Data Provenance User feedback Data policy Results of assessments
- 16. Introduction to CHARMe Post-fact annotations External events Data Provenance User feedback Data policy Results of assessments CHARMe
- 17. Post-fact annotations External events Data Provenance User feedback Data policy Results of assessments CHARMe Introduction to CHARMe
- 18. Post-fact annotations External events Data Provenance User feedback Data policy Results of assessments Sharing knowledge about Climate Data to help users judge fitness-for-purpose CHARMe Introduction to CHARMe
- 19. CHARMe Annotation Metadata Climate Dataset Overlapping volcanic eruption I recently published a paper about this dataset CHARMe basic OA use case Does anyone know about other related datasets? http://www.someURL.com/dataset
- 20. CHARMe Annotation Metadata Climate Dataset Overlapping volcanic eruption I recently published a paper about this dataset CHARMe basic OA use case Does anyone know about other related datasets? http://www.someURL.com/dataset W3C OA is a natural fit for CHARMe…
- 21. CHARMe Annotation Metadata Climate Dataset Overlapping volcanic eruption I recently published a paper about this dataset CHARMe basic OA use case Does anyone know about other related datasets? http://www.someURL.com/dataset W3C OA is a natural fit for CHARMe… …plus it lets us record motivation, tags, author, time, have multiple targets.
- 22. CHARMe node CHARMe node CHARMe node 3rd party system Data provider website • CHARMe will create connected repositories of commentary information • Annotations stored as triples in “CHARMe nodes” • Information can be read and entered through websites or web services CHARMe basic OA use case
- 23. CHARMe basic OA use case
- 24. CHARMe basic OA use case
- 25. CHARMe basic OA use case
- 26. CHARMe basic OA use case
- 27. Some advanced use cases... Climate data users discuss about data:
- 28. Some advanced use cases... Climate data users discuss about data: - Intercompare datasets - Research on events timing - Focus on specific areas of the world
- 29. Some advanced use cases...
- 30. Plankton bloom: “when did it start?” Some advanced use cases...
- 31. Plankton bloom: “when did it start?” Sediment from rivers: “Where did it come from?” Some advanced use cases...
- 32. Plankton bloom: “when did it start?” Sediment from rivers: “Where did it come from?” Reflective bloom: “or is it an image artefact??” Some advanced use cases...
- 33. Plankton bloom: “when did it start?” Sediment from rivers: “Where did it come from?” Reflective bloom: “or is it an image artefact??” Plankton tracing currents: “how deep?” Some advanced use cases...
- 34. Plankton bloom: “when did it start?” Sediment from rivers: “Where did it come from?” Reflective bloom: “or is it an image artefact??” Plankton tracing currents: “how deep?” Clear blue ocean: “isn’t it nice?” Some advanced use cases...
- 35. Significant Event’s Viewer Allows plotting of EO data on a timeline
- 36. Significant Event’s Viewer Matching of events that may explain picks on the data
- 37. Fine-Grained Commentary Tool Focus on user commentary Planned to expand the tool to cope with other kinds of metadata
- 38. Fine-Grained Commentary Tool Focus on user commentary Planned to expand the tool to cope with other kinds of metadata Fine-grained commentary metadata: Targets are not entire datasets but subsets of them: • An entire variable/field within a dataset • Time intervals or an instant • A pixel, a bounding box, a drawn polygon, an area of interest • A vertical section • A transect • A combination of the above
- 39. Fine-Grained Commentary Tool Focus on user commentary Planned to expand the tool to cope with other kinds of metadata Fine-grained commentary metadata: Targets are not entire datasets but subsets of them: • An entire variable/field within a dataset • Time intervals or an instant • A pixel, a bounding box, a drawn polygon, an area of interest • A vertical section • A transect • A combination of the above Allows visual data intercomparison Planned to expand the tool to cope with metadata intercomparison
- 40. Record a comment about… Fine-Grained Commentary Tool
- 41. Record a comment about… … the entire SST field within a multi-variable gridded dataset. Fine-Grained Commentary Tool
- 42. Record a comment about… … the entire SST field within a multi-variable gridded dataset. … all SST data from 2006 from within a long gridded time series covering a given area. Fine-Grained Commentary Tool
- 43. Record a comment about… … the entire SST field within a multi-variable gridded dataset. … all SST data from 2006 from within a long gridded time series covering a given area. … a particular pixel corresponding to the position of an in situ station Fine-Grained Commentary Tool
- 44. Record a comment about… … the entire SST field within a multi-variable gridded dataset. … all SST data from 2006 from within a long gridded time series covering a given area. … a particular pixel corresponding to the position of an in situ station … a transect navigated by a scientific cruise who wants to start a conversation about their findings comparing their data with EO SST data Fine-Grained Commentary Tool
- 45. Record a comment about… … the entire SST field within a multi-variable gridded dataset. … all SST data from 2006 from within a long gridded time series covering a given area. … a particular pixel corresponding to the position of an in situ station … a transect navigated by a scientific cruise who wants to start a conversation about their findings comparing their data with EO SST data …. a vertical section from a pixel of interest in an SST dataset to compare with buoy measurements. Fine-Grained Commentary Tool
- 46. Record a comment about… … the entire SST field within a multi-variable gridded dataset. … all SST data from 2006 from within a long gridded time series covering a given area. … a particular pixel corresponding to the position of an in situ station … a transect navigated by a scientific cruise who wants to start a conversation about their findings comparing their data with EO SST data …. a vertical section from a pixel of interest in an SST dataset to compare with buoy measurements. … the particular differences found in an area or interest between CCI SST and CCI Cloud data. Fine-Grained Commentary Tool
- 47. • Main Mockup for screen display distribution Fine-Grained Commentary Tool
- 50. • Mockup showing how to enter comments Fine-Grained Commentary Tool
- 51. Fine-Grained Commentary Tool • Mockup showing visual intercomparison
- 52. NCPP + CHARMe • CHARMe aids evaluation of datasets and informs climate data users’ decisions – are we working towards the same objective?
- 53. NCPP + CHARMe • CHARMe aids evaluation of datasets and informs climate data users’ decisions – are we working towards the same objective? • Climate Translator + OpenClimateGIS similar to CHARMe Maps? Any prototypes?
- 54. NCPP + CHARMe • CHARMe aids evaluation of datasets and informs climate data users’ decisions – are we working towards the same objective? • Climate Translator + OpenClimateGIS similar to CHARMe Maps? Any prototypes? • What’s exactly the CoG Environment?
- 55. NCPP + CHARMe • CHARMe aids evaluation of datasets and informs climate data users’ decisions – are we working towards the same objective? • Climate Translator + OpenClimateGIS similar to CHARMe Maps? Any prototypes? • What’s exactly the CoG Environment? • NCPP to provide standard-based evaluation capabilities. Can we use the same standards?
- 56. NCPP + CHARMe • Can any of these benefit from the CHARMe Plugin? • Earth System Grid (ESG) • CIM Metadata Viewer and Comparator
- 57. NCPP + CHARMe • Can any of these benefit from the CHARMe Plugin? • Earth System Grid (ESG) • CIM Metadata Viewer and Comparator • Which are some problem specific case studies within NCPP environment? Can we build a customized tool for your users once the CHARMe System is in place?