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Data Design Implementation and support for Build 2b

Data Design Implementation and support for Build 2b. November 30, 2011 Steve Hughes. 1. Topics. Overview Key Requirements and Drivers Build 2b Deliverables Build 2b Deployment Issues Next Steps. PDS4 Architecture. Label Schema. Data Element. Planetary Science Data Dictionary.

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Data Design Implementation and support for Build 2b

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  1. Data Design Implementation and support for Build 2b November 30, 2011 Steve Hughes 1

  2. Topics • Overview • Key Requirements and Drivers • Build 2b Deliverables • Build 2b Deployment • Issues • Next Steps

  3. PDS4 Architecture

  4. Label Schema Data Element Planetary Science Data Dictionary has Class Data Architecture Concepts Information Model Product Tagged Data Object (Information Object) Used to Create Validates Expressed As Extracted/Specialized Describes Data Object

  5. Topics • Overview • Key Requirements and Drivers • Build 2b Deliverables • Build 2b Deployment • Issues • Next Steps

  6. DRIVERS FOR PDS4 Build 2a

  7. DRIVERS FOR PDS4 Build 2a

  8. DRIVERS FOR PDS4 Build 2a

  9. DRIVERS FOR PDS4 Build 2a

  10. Topics • Overview • Key Requirements and Drivers • Build 2a Deliverables • Build 2b Deployment • Issues • Next Steps

  11. Build 2a Scope • Begin supporting PDS4 label design for LADEE and MAVEN; Begin planning/testing migration • Support the Policy on Acceptable PDS4 Data Formats • Support transition of the central catalog to the registry infrastructure • Deploy early PDS4 software tools and services

  12. Build 2a Deliverables

  13. PDS4 Documents in Context references references derive generates Big Picture instruct generates Introduction to PDS4 Documentation Standards Reference Concepts Document PDS4 Information Model Specification Data Dictionary Data Provider’s Handbook PDS4 Product Labels XML Schemas Registry Configuration File Data Dictionary Tutorial Jumpstart Glossary Registry generates Requirements User Friendly Product Tracking and Cataloging creates / validates generates Definitions Blueprints Deliverables Object Descriptions Requirements Engineering Specification configures Legend Complete Cookbook Some TBD Informative

  14. Data Format Deliverables vis-à-vis Policy

  15. Data Format Deliverables vis-à-vis Policy

  16. TheDeliverablesfrom 10K

  17. PDS4 Model

  18. PDS4 Products

  19. PDS4 Data Formats Extensions/ Restrictions Base

  20. PDS4 Observational Product [1] Data_Standards Identification_Area [1] [0..1] Subject_Area [1] Cross_Reference_Area [0..*] Bibliographic_Reference [1..*] Observing_System [0..*] Reference_Entry [1] Observation_Area Mission_Area [0..*] [0..*] Node_Area [1..*] File_Area [0.*] Digital_Object

  21. Information Modeling Tool Domain Knowledge Data Standards Development Process • Domain expertise was captured in the PDS4 Information Model as an ontology. • The model represents a consensus of the domain experts. • The model is the single source for the PDS4 Data Standards, for example the generated XML Schemas. PDS4 Information Model Filter and Translator XML Schema (Generic) XML Schema (Generic) XML Schema (Generic) XML Schema (Generic)

  22. Topics • Overview • Key Requirements and Drivers • Build 2b Deliverables • Build 2b Deployment • Issues • Next Steps

  23. Build 2b Deployment • Resolve build 2a liens (to be discussed) and generate a build 2b deployment • Generate a release of the information model, companion documents and supporting tutorial material • Generate new schemas • Generate registry configuration information • Post key documents to PDS website

  24. Topics • Overview • Key Requirements and Drivers • Build 2b Deliverables • Build 2b Deployment • Issues • Next Steps

  25. Chart of Review Comments Total: 1173

  26. Total: 1935

  27. Build 2a Identified Liens

  28. Build 2a Identified Liens

  29. Topics • Overview • Key Requirements and Drivers • Build 2b Deliverables • Build 2b Deployment • Issues • Next Steps

  30. Build 2b Actions – Jan ‘12 • Finalize and freeze the information model for Build 2b incorporating high priority changes identified in Build 2a. • Use existing capabilities to support local data dictionary validation and the creation of schema and human-readable definition lists. • Baseline the current documentation • Add any additional information/ changes to an online resource (e.g., wiki) • Finalize and freeze the XML Schema for Build 2b incorporating the extension schemas currently under testing by the DDWG

  31. Conclusion • The PDS4 Information Model represents the DDWG consensus. • A large number of decisions resulting from much discussion were captured in the model. • All had a say, not everyone always got their way. • On the scheduled date the model will be frozen and the PDS4 Data Standards will be generated and deployed. • The schemas, the dictionary, and all other generated artifacts will be consistent with the model. • The current consensus, as reflected in the model will be operational.

  32. Acknowledgements* Peter Allan David Heather Michel Gangloff Santa Martinez Thomas Roatsch Alain Sarkissian Ed Bell Richard Chen Dan Crichton Amy Culver Patty Garcia Ed Grayzeck Ed Guinness Mitch Gordon Sean Hardman Lyle Huber Steve Hughes Chris Isbell Steve Joy Ronald Joyner Debra Kazden Todd King Joe Mafi Mike Martin Thomas Morgan Lynn Neakrase Paul Ramirez Anne Raugh Mark Rose Elizabeth Rye Boris Semenov Dick Simpson Susie Slavney * Anyone who sat through a DDWG 2-hour telecon or provided useful input.

  33. Thank YouQuestions and Answers

  34. Backup

  35. Too Many {objects, classes, schemas, …} • Abstract (vacuous) classes are used for organizational purposes. • These are not included in the schemas and many are being deleted. • Subclasses of the four fundamental structures are used to partition the set of allowed structures, for example the Array_2D_Image subclass of Array_Base. • Question to be answered, does the PDS want to provide software specific to Array_2D_Image? • All Array_Base software works for any Array_2D_Image

  36. Too Many {objects, classes, schemas, …} • Subclasses of a product component are used to provide specificity, for example, the subclass Bundle_Member_Entry. • There are three methods, change the name, change the namespace (new file), or use optional attributes. • Some specific subclasses are used for special purposes, for example Table_Field_Checksum in an Inventory. • Consider using Schematron Assert statements to validate.

  37. Too Many {objects, classes, schemas, …} • Some classes result from the process of normalization, for example array_axis and array_element. • Emperor Joseph II: …And there are simply too many notes, that's all. Just cut a few and it will be perfect. Mozart: Which few did you have in mind, Majesty?

  38. Action Item Flowchart

  39. By the numbers • Fundamental Data Structures – 4 • Lines of Schema Code • Flat 18K • Master 4k-6k • Classes dropped (Master) – nn • SimpleTypes dropped (Master) – 200 • Actionable items closed – 1.5K • Actionable items open - < 50 • Issues from reviews – 1k+

  40. Totals

  41. Post Build 2b – Summer ‘12 • Develop discipline level classes for the next phase of data set migration • Refine the document suite and its organization. • Support development of tools scheduled for the next build. • Support development of data dictionary and local data dictionary services.

  42. Capability Matrix

  43. Capability Matrix

  44. Capability Matrix

  45. Capability Matrix

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