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The earth sciences are first and foremost observational sciences, based on data collected on the planet over generations. It is from this data that interpretations, concepts and models are produced. The description of data by those who produced it and its conservation has always been a concern for scientists, to enable it to be reused and reproduced. This has been achieved by adopting common rules and standards, for example for indicating the geographical coordinates of an observation or the units of measurement used. Today's scientific challenges, first and foremost the climate challenge, require the mobilisation of different scientific disciplines, often with different languages and practices. The establishment of data infrastructures on an international scale means that researchers can use computer protocols to access considerable sources of data from their own and other disciplines. Digital tools such as AI make it possible to make machines 'reason' about data to produce new knowledge. All these factors make it critical for both humans and machines to be able to 'understand' the data used. This understanding necessarily requires the adoption of common reference systems on an international scale and across all disciplines. These standards are based on a common 'vision' produced by the scientific community (and updated as knowledge evolves), resulting in vocabularies and ontologies shared by the community. This presentation will look at the ecosystem for producing and maintaining standards for the geosciences and some of the issues involved in the relationship between scientists and the production and use of standards.
François Robida (Fri,) studied this question.