1. 1 - A View from the Field - The Next Generation Data Standards For the PDS - PDS4 - ESIP Federation Meeting July 8, 2009 J. Steven Hughes JPL Copyright 2009 California Institute of Technology Government sponsorship acknowledged

2. PDS Mission and Vision Statement Mission: The mission of the Planetary Data System is to facilitate achievement of NASA’s planetary science goals by efficiently collecting, archiving, and making accessible digital data produced by or relevant to NASA’s planetary missions, research programs, and data analysis programs Vision: To gather and preserve the data obtained from exploration of the Solar System by the U.S. and other nations To facilitate new and exciting discoveries by providing access to and ensuring usability of those data to the worldwide community To inspire the public through availability and distribution of the body of knowledge reflected in the PDS data collection PDS is a federation of heterogeneous nodes including science and support nodes

3. About the Planetary Data System NASA’s official archive for Planetary Science Data Missions are required to archive data with PDS Data is peer reviewed as part of the archiving of data PDS works to support planetary science R&A Federation of nodes Science discipline nodes provide scientific and data management expertise Central engineering (JPL) addresses PDS-wide software and standards Management node (GSFC) provides management support to PDS Governed by the PDS Management Council which is formed from the node managers Standard archiving processes and tools PDS supports diversity of data types but promotes a homogeneous architecture for archives

4. PDS Engineering Challenges All data online and distributed across the PDS enterprise Single point of access to all data through an integrated infrastructure Substantial increases in data volumes International coordination and interoperability Shared standards Sharing of science products Satisfying US data sharing regulations Supporting diverse user needs Replacing aging technology, tools and processes

5. Why is PDS4 Necessary? The PDS data standards were developed in the late 1980’s to define the concepts and terms needed for archiving science data in the planetary science domain. Even though the data standards were innovative for their time, ambiguity and many assumptions have crept in over almost two decades of use. This situation has caused significant problems for PDS operations, data providers, and end-users. In 2006 the International Planetary Data Alliance (IPDA) was formed. Charter stated that the PDS data standards, as the de-facto planetary standards, should reviewed and the core elements be adopted. The PDS4 task was initiated to formalize the PDS data standards and address the issues.

6. PDS4 Key Goals Enable a stable and usable long-term archive. Enable more efficient archive preparation for data providers. Enable services for the data consumer to find the specific data they need and provide the formats they require.

7. PDS4 Design Principles The data model: is defined in a formal language is independent of implementation defines a few fundamental data structures that do not evolve over time is extensible enabling it to handle more complex data formats The archive data formats is being designed independent of data provider and data consumer formats. The data architecture shall include a standard data dictionary model.

8. PDS 2010 Architecture 8

9. PDS4 Data Product Model Components Registry Object & Web Resource Product Description Combinations Data Object Description Structure Data Classification

10. Data Product Concept Map 10 Web & Registry View Basic I/O ViewProgrammer View User/Designers View

11. The Model Design Process Master model constrains data design and defines validation. Master model and data dictionary are tightly coupled. Document writer translates modeling information into target languages based on grammar and munging rules. Updates to master model are reflected quickly in the documents.

12. PDS4 Data Standards Deliverables PDS4 Information Model The Information Model defines PDS object classes. This includes data structures, formats, and products as well as data sets, documents, missions. PDS4 Data Dictionary Model The Data Dictionary Model provides the schema for the PDS data dictionary. The data dictionary documents the data elements used in the PDS4 Information Model. PDS Standards Reference V4.0 The PDS Standards Reference V4.0 will be written in the format and tone of a standards reference document. Grammar Options The Grammar is used to capture PDS archive metadata for product labels. 12

13. Benefits of the PDS4 Data Model The data model is managed in a data modeling tool. The model is formally defined. The model can be validated and tested. Defines a few simple fundamental data structures. Fundamental data structures may be extended and combined to form more complex data formats The overall architecture is model driven. Disentangles the model from its implementation. Model can evolve over time as research domain changes. Drives the generation of documentation, label schema, and other model dependent artifacts. The data dictionary uses a standard data dictionary model.

14. Backup 14

15. PDS4 Product Label Creation Label 15 Model Generic Label Schema Design Populate Extract Specific Label Schema Mission Specific Data Dictionary Ingest/ Update Ingest Label Product Labels Modeling Tool A Design Data Engineer Modeling Tool B Load Edit Validate Generate Current using editor Current using Oxygen/Future Design Tool Proposed Ingest DDWG

16. Topics The View from the Field What are other disciplines and agencies doing for preservation/stewardship? How do they deal with databases, collections of files, physical objects, ad-hoc services such as work flows? How do they deal with provenance? Any lessons to be learned and incorporated into earth science practice Copyright 2009 California Institute of Technology Government sponsorship acknowledged

17. PDS4 Data Design Accomplishments - General Project and Project Members Defined Principles and Drivers updated General Data Model (Draft) Product Data Model (Draft) Data Dictionary Model (Draft) Grammar Options PDS Standards Reference (Outline) Data Dictionary Model (Final) Grammar Decision PDS Standards Reference (Draft) PDS and community wide review General Data Model (Final) Product Data Model (Final) PDS Standards Reference (Final) 17 Done Substantial Progress Next 3 Months Due 9/31/10

18. Proposed IPDA Data Standards Project 18 Identify the core elements of the PDS4 data standards Develop a process for maintaining alignment between the IPDA and the PDS Unique Namespace

19. Charter for the IPDA Data Architecture Standards 19 “The data standards within the IPDA, including the data models and derived dictionaries, are based on the NASA Planetary Data System (PDS) standard that is the de-facto standard for all planetary data at the time of the IPDA founding”. Charter of the International Planetary Data Alliance, 3rd Draft, May 24, 2007

20. PDS4 Data Design Accomplishments - Details 20 Four basic data structures Homogeneous N-dimensional array of scalars – Array_Base Heterogeneous repeating record structure of scalars – Table_Base Unencoded byte stream Encoded byte stream Identifiable Digital Product Data Product Product_Image_Grayscale …Image_3D …Movie …Table_Character …Table_Binary …Table_Binary_Grouped Document Set Software_Set Non-Digital Product Mission Instrument Resource Data Type Binary Data Type Decimal Integer … Character Literals Character Integer … Array_Base Array_2D Image_Grayscale Spectrum_2D Array_3D Image_3D Movie Table_Base Table_Character Table_Binary Table_Binary_Grouped Draft PDS Data Dictionary Model Grammar – ODL+, PVL, and XML Labels

21. Example Results Image _Grayscale Concept Map UML Class Diagram XML Schema PVL Label Template Class Definition Table <xs:element name="axes_order" type="axes_order_Type" /* ******* Label Template - Product_Image_Grayscale Object = Product_Image_Grayscale; Object = Image_Grayscale; local_identifier = ${local_identifier};

22. PDS4 Product Label Creation Label 22 Model Generic Label Schema Design Populate Extract Specific Label Schema Mission Specific Data Dictionary Ingest/ Update Ingest Label Product Labels Modeling Tool A Design Data Engineer Modeling Tool B Load Edit Validate Generate Current using editor Current using Oxygen/Future Design Tool Proposed Ingest DDWG

23. Query Model A formal model consisting of classes, attributes, and relations that are appropriate for use as search constraints Types of query models include Data Set Product Data Product Document Product Software Product Any PDS4 Identifiable The query models are subsets of the archive model Can be augmented with external metadata (e.g. LDD) Example query constraints general parameters - time, target, mission, instrument host, instrument any metadata defined in the archive model any association between two classes e.g. documents associated with data sets class type and hierarchy geometry - (lat, lon), (az, el), (ra, dec), (x,y,z).