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Data Model Working Group Sessions: May 2023, Bologna, Italy



This schedule is a draft very prone to changes!!

DM I - Tuesday, May 09, 16:00 -- 17:30, Plenary Room
Speaker Title Abstract Materials Time
Paul Harrisson Adopting the new VO-DML tooling A demonstration will be given of how it is possible to use the new tooling with various levels of adoption of new workflow patterns, from still working in the same fashion as previously using UML tooling such as Modelio, to writing models in VODSL. In both cases it is possible to use the source code generation facilities.   17+3
MIVOT Session
Laurent Michel The DM workflow      
Laurent Michel MIVOT implementations      
discussions


Splinter - Tuesday, May 09, 18:00 -- 19:30, Plenary Room
Supervisor Title Abstract Materials Time
Mark Cresitello Dittmar DatasetDM, Provenance, CAOM and Characterization

Now that the core models of the Cube family (Meas/Coords) are completed, we return our attention to the next group.

The information in this model is a consolidation of content from several of the early core models (ObsCore, Spectrum, Characterization). The descriptions of many of the elements are derived from the Resource Metadata standard. The idea of this model is to centralize this information for other datamodels to use (Cube, Mango, Spectrum2, TimeSeries).

 		wiki  

DM II - Thursday, May 11, 11:00--12:30, Plenary Room
Speaker Title Abstract Materials Time
Steve Hugues The PDS4 Information Model - An Implementation-Agnostic Model for Interoperability The PDS4 Information Model was developed by the Planetary Data System as a science data archive standard to improve interoperability within the planetary science community. It addresses the key requirements for interoperability including standardized data formats, common data models, clear data definitions, and well-defined data governance. In addition, the information model was developed independent of all system implementation choices to insulate it against inevitable changes in implementation technology. It also uses multi-level data governance to localize the impact of changes in the science disciplines.

These architectural choices have allowed the PDS4 Information Model to remain relevant within the Planetary Science Community while enabling interoperability across diverse science disciplines, tools, and APIs. It has been adopted world-wide by space agencies involved in Planetary Science.

This talk will briefly describe the architectural and design principles used to maintain the independence of the PDS4 Information Model and how the artifacts necessary for the maintenance and operations of the PDS are generated. 		  17+3
Mark Cresitello Dittmar DatasetDM /SDM1.2/Cube     17 +3
Matthieu Servillat One step Provenance     12 + 3
Matthieu Servillat DM for HE data / CTAO     17 +3






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Topic revision: r3 - 2023-04-11 - LaurentMichel
 
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