standards > model/format > DOI:10.25504/FAIRsharing.OcXwxA
Update in progress: note to all users. FAIRsharing is always available for you to search and discover databases, standards and data policies. However, for producers of these resources who maintain or wish to add new records, please note that editing is disabled until September while we migrate our data to our new, improved system. Read our blog post or get in touch with us for more details.


ready Virtual Observatory Data Modeling Language

Abbreviation: VO-DML


General Information
The Virtual Observatory Data Modeling Language (VO-DML) defines a standard modelling language, or meta-model, for expressing data models in the IVOA. Adopting such a uniform language for all models allows these to be used in a homogeneous manner and allows a consistent definition of reuse of one model by another. The particular language defined here includes a consistent identification mechanism for model which allows these to be referenced in an explicit and uniform manner also from other contexts, in particular from othe IVOA standard formats such as VOTable. The language defined in this specification is named VO-DML (VO Data Modeling Language). VO-DML is a conceptual modeling language that is agnostic of serializations, or physical representations. This allows it to be designed to fit as many purposes as possible. VO-DML is directly based on UML, and can be seen as a particular representation of a UML2 Profile. VO-DML is restricted to describing static data structures and from UML it only uses a subset of the elements defined in its language for describing "Class Diagrams". Its concepts can be easily mapped to equivalent data modelling concepts in other representations such as relational databases, XML schemas and object-oriented computer languages. VO-DML has a representation as a simple XML dialect named VO-DML/XML that must be used to provide the formal representation of a VO-DML data model. VO-DML/XML aims to be concise, explicit and easy to parse and use in code that needs to interpret annotated data sets. VO-DML as described in this document is an example of a domain specific modeling language, where the domain here is defined as the set of data and meta-data structures handled in the IVOA and Astronomy at large. VO-DML provides a custom representation of such a language and as a side effect allows the creation and use of standards compliant data models outside of the IVOA standards context.

Homepage http://ivoa.net/documents/VODML/index.html

Countries that developed this resource Worldwide

Created in 2018

Taxonomic range

Knowledge Domains 




How to cite this record FAIRsharing.org: VO-DML; Virtual Observatory Data Modeling Language; DOI: https://doi.org/10.25504/FAIRsharing.OcXwxA; Last edited: May 8, 2020, 3:46 p.m.; Last accessed: Aug 02 2021 1:35 a.m.

Publication for citation  VO-DML: a consistent modeling language for IVOA data models Version 1.0 Lemson, Gerard; Laurino, Omar; Bourges, Laurent; Cresitello-Dittmar, Mark; Demleitner, Markus; Donaldson, Tom; Dowler, Patrick; Graham, Matthew; Gray, Norman; Michel, Laurent; Salgado, Jesus; SAO/NASA Astrophysics Data System ; 2018.


This record is maintained by carviset

Record added: April 18, 2018, 1:22 p.m.
Record updated: May 8, 2020, 2:44 p.m. by The FAIRsharing Team.

Show edit history


In Collections
International Virtual Observatory Alliance (IVOA)


Support

General

online documentation VO-DML Wiki

Additional Information

Contact IVOA Data Model Working Group

Tools

    No tools defined


Schemas

No XSD schemas defined


Access / Retrieve Data

Conditions of Use


Data Access

Download Standard (DOCX) http://ivoa.net/documents/VODML/20180307/VO-DML-PR-v1.0.docx
Download Standard (PDF) http://ivoa.net/documents/VODML/20180307/VO-DML-PR-v1.0.pdf



Publications

VO-DML: a consistent modeling language for IVOA data models Version 1.0

Lemson, Gerard; Laurino, Omar; Bourges, Laurent; Cresitello-Dittmar, Mark; Demleitner, Markus; Donaldson, Tom; Dowler, Patrick; Graham, Matthew; Gray, Norman; Michel, Laurent; Salgado, Jesus
SAO/NASA Astrophysics Data System 2018

Link to Publication

Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

No semantic standards defined

Models and Formats

Identifier Schemas

No identifier schema standards defined

Metrics

No metrics standards defined


Related Databases (0)

No Related Databases


Implementing Policies

This record is not implemented by any policy.


Credit

Record Maintainer

Maintains