The inverse Butterfly effect: from chaos to FAIR

The inverse Butterfly effect: from chaos to FAIR Alexander Wolodkin Anette Ganske Andrea Lammert Claudia Martens Ivonne Anders Agenda Part I: Challenges ❖Introduction - what is it about? ❖Survey ❖Example Break Part II: Solutions ❖BITS - Terminologies in Earth System Science ❖Use Cases ❖Feedback ❖Key Take Aways Introduction What is it about? Introduction What is it about? Introduction What is it about? Introduction What is it about? Introduction What is it about? Introduction What is it about? Terminologies may help! Introduction It´s about Semantics! Example Butterfly Taxonomic Hierarchy Example Clouds instead of Butterflies CF Conventions - 163 cloud related variables, e.g.: ●cloud_area_fraction ●convective_cloud_area_fraction ● stratiform_cloud_area_fraction: … In an atmosphere model, stratiform cloud is that produced by large-scale convergence (not the convection schemes). Example Clouds instead of Butterflies CF Conventions - 163 cloud related variables, e.g.: ●cloud_area_fraction ●convective_cloud_area_fraction ● stratiform_cloud_area_fraction: … In an atmosphere model, stratiform cloud is that produced by large-scale convergence (not the convection schemes). ENVO: Cirrostatus cloud … Cirrostratus clouds totally or partly cover the sky and are always thin enough to show the disc of the local star… Cirrostratus clouds generally produce halo phenomena;... Absence of any precipitation. BITS Terminologies in Earth System Science BITS Terminologies in Earth System Science BITS Terminologies in Earth System Science BITS Terminologies in Earth System Science BITS Terminologies in Earth System Science Reduce Number of results BITS Terminologies in Earth System Science BITS Terminologies in Earth System Science Use Cases Including term description in search portal Use Cases Including term description in search portal Use Cases Including term description in search portal Use Case I At WDCC Usage of ESS terminology service Improving discovery and usability of ESS data Use Case II Annotation example Senckenberg Collections ●More than 40 million physical specimen ●Currently: 1,547,711 digital specimen in 124 collections ●Use of mixed languages ●Use of taxonomic structures in object descriptions ●Use of labels and various image data ●Plain text without linked data Need for Knowledge Exchange between humans and machines Use Case II GUI for humans, API for AI agents. How to understand human intent? Example: Phase in the scope of Specimen Data, what kind of phase? A human can understand this. But how should an AI agent use this? -A result on the web: A quality that exists by virtue of being a particular point in the time of a cycle. -Metadata, use this: A distinguishable part, a stage in a series of events or in a process of development… Use Case II Click, Label, Learn: SGN data handling simplified Automated Transformation, no GUI required. But how do you understand AI intent? Use Case II Annotation example 124 Collections Use Case II Annotation Example - In a world overflowing with data and information, standardized terminology equips us with essential tools to transform raw data into meaningful knowledge - The use of Terminology Services makes it easier and more accessible for researchers to apply standardized terminologies in their work - By adopting standardized terminologies, we help ensure the longterm sustainability and reusability of research data and results - The use of TS enables an agile and automated data annotation, streamlining the process and improving efficiency Key Take Aways Terminologies are great: use them!