Link to the session recording: https://vimeo.com/743689718
This session will summarize the international efforts to date, present the “universal metrology data model” now under development, and show a practical application of digital representation of units of measurement for the CODATA Fundamental Constants. We will also present a “call to action,” currently being prepared for publication, to engage the research community through the members of the International Science Council. Plans for future workshops of a more technical nature will also be described.
The tentative agenda is as follows:
● General introduction, featuring Simon Hodson for CODATA and Daniel Hützschenreuter (PTB, Germany) for the CIPM Digital SI Task Group. (5+5)
● Introduction to the CODATA Task Group on Digital Representation of Units of Measurement, Robert Hanisch (NIST, USA), DRUM chair. (10)
● Introduction to CIPM Expert Group (topics include the CGPM Resolution and Joint Statement for the Digital-SI), Alan Steele (NRC ret., Canada), CIPM Digital SI Task Group member (10)
● Technical overview of the joint “Universal Metrology Data Model,” Blair Hall (MSL, New Zealand), CIPM Digital SI Expert Group member. (15)
● Use Case: Machine readable version of the CODATA Fundamental Constants, Pascal Heus (independent consultant, Canada), DRUM member. (10)
● Summary of the “call to action paper,” how to get involved, Jeremy Frey (Southampton, UK), DRUM member. (10)
● Outline of plans for technical workshops, Stuart Chalk (U. North Florida, USA), DRUM secretary. (5)
● Discussion (20)
● Total time: 90 minutes.
This session is complementary to two other sessions being proposed for SciDataCon: Digital Unit Representation Systems and their Use in Infrastructure (Stuart Chalk) and BIPM Developments Towards Interoperable Metrology (Susanne Picard), which together with the current session comprise a virtual “units summit.” These sessions address several of the SciDataCon 2022 themes:
● Data to Improve our World: The role of data to address global challenges. Interoperability of units of measurement is critical for multidisciplinary data integration.
● Research Transparency, Accountability, and Reproducibility. Units representation is similarly critical for reproducibility, since results cannot be properly validated without clear expression of the associated units of measurement.
● Empowering and Enabling Society: Data Science and Stewardship Education and Data Literacy. Increasing awareness of the role units play in clear communication of research results is essential for data science and data stewardship.