CHADA training now available

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Training for the new CHADA has now been published and is available.

CHADA – CHAracterization DAta – is an approach used for the definition of terminology, classification and metadata for materials characterization methods. The method aims to provide a standard structure capable of representing all materials characterization data.

CHADA was originally developed in 2019, however a new version has now been developed that benefits from a recently updated CEN Workshop agreement, Materials characterization – Terminology and structured documentation.

The training provides a modular CHADA template and details how diagrams can be produced that are compatible with standard business process model and notation.

After completing the training, users should be able to produce general workflows that are fully understandable by humans and that support machine-processable implementations.

Full details of the training materials are available.

 

Acknowledgement: This work has received funding from the European Union’s Horizon 2020 Framework Programme under Grant Agreement No 952869 (NanoMECommons). Additional financial support was provided by the HSBooster CSA project.

 

 

Logo for the EMMO

EMMO 1.0.0 released

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We are pleased to announce the 1.0.0 release of the Elementary Multiperspective Material Ontology (EMMO). This release is a major milestone in a multidisciplinary effort to develop a standard representational framework for the materials and manufacturing sectors, and a culmination of more than seven years of development and collaboration by many projects within the EMMC community.

EMMO overcomes issues of other ontologies in rigorously representing the multi-scale nature of materials, the causal nature of interactions, and the strong connection between material properties and metrology. Furthermore, its novel “Perspectives” approach enables multiple views of the world to co-exist and enrich each other, for example enabling a microscopy image to be represented as an object, as data and as a structural representation of a material.

This collaborative work was led by Emanuele Ghedini from the University of Bologna, Jesper Friis from SINTEF, and Gerhard Goldbeck from Goldbeck Consulting.

Further details about EMMO and the release can be found on EMMO GitHub main page and in the release notes.