Administrative context & provenance - Research Data Management in Metrology

Administrative context and provenance

The resources in this category help to describes organisations, people, labs as well as the origin (provenance) of the dataset. They help researchers and project administrators manage datasets and collect information about their data in Data Management Plans.

The Organization Ontology

Paper: https://content.iospress.com/articles/semantic-web/sw210424

Resource: https://www.w3.org/TR/vocab-org/

Example case studies that use this ontology: https://ukgovld.github.io/ukgovldwg/case-studies/

Description: An OWL ontology originally developed for use by data.gov.uk to represent organizational structures.

Why we like it: FAIR access to OWL files, follows W3C standard.

Caveauts: This is not a metrology-specific resource. It will need to be enhanced to cover the metrology quality infrastructure.

PROV-O ontology

Publication: A description of the PROV data model including PROV-O and other models.

Resource: https://www.w3.org/TR/prov-o/

Example case studies that use this ontology: A tutorial on provenance representation that uses PROV-O and other ontologies; "a publication "The METACLIP semantic provenance framework for climate products", https://doi.org/10.1016/j.envsoft.2019.07.005

Description: PROV-O belongs to the family of PROV toolkit developed by W3C. The aim of PROV-O is to represent and share provenance information generated in different systems and under different contexts.

Why we like it: Well-developed and well-documented framework for capturing provenance with several application examples in research.

The SI Digital Framework

The SI Digital Framework is being developed by Bureau International des Poids et Mesures (BIPM) to support the digitalisation of the metrology quality infrastructure. The application domains covered to date include

The SI Digital Framework to implement semantic representation of units of measure;
Key Comparison Database (KCDB) search utility;
machine-readable semantic representation of Service Categories.

The semantic representations provisioned by the framework can be accessed through a well-documented Application Programming Interfaces.