At the heart of science is the ability to make sense of data from observations or modelled outputs. The challenge today is being able to handle the large volumes of data from many sources and to be able to find insights in an easy to access manner. Data visualisations plays a role in addressing this challenge and help with communicating science outputs to a wide variety of audiences. Well designed data visualisations can indeed make a big impact in being able to uncover discoveries that would otherwise remain unnoticed.
The CSIRO Environmental Informatics group works in this area in order to leverage the value of data and information, particularly in (but not limited to) the earth and environmental sciences.
Get in touch if you would like to talk to one of our experts in this area.
Interactive data science environments provide a way to rapidly explore data, develop work flows, share code and visualise results. A variety of Data Science environments are available, Jupyter is a popular choice in the scientific community. It provides a well supported open-source cross-language solution for data analysis and visualisation. Through the Oznome, DAMBusters and EUDM projects we […]
We’ve produced numerous data analytics explorations and products focused around the question of: ‘How can we better manage large and diverse collections of data’. Some examples are shown below. Exploring metadata using Word2Vec Through harvesting large metadata collections via Knowledge Network we have explored the relationship between metadata keywords using pre-trained machine learning through Word2Vec. […]
Here are some examples of data visualisations we’ve developed using tree, network and graph visualisations. Collaboration network We’ve designed a number of network and graph visualisations. A notable example being the CSIRO Network platform which features a collaboration network visualisation for each person in CSIRO based on ‘collaboration units’ (people, projects, teams) and collaborators. The […]
The Encyclopedia of Australian Science has a record of the history of organizational units within CSIRO from its origin up until around 2002. We harvested the data and converted it into an RDF graph using the W3C Organization Ontology, cleaned it up, and generated a few demonstrator graphs. The data is in BitBucket. Provenance of CSIRO Energy Technology Successors […]