05-30, 14:00–14:35 (Europe/Amsterdam), Catering room
Don't look further for finding a way to explore contents of research datasets interactively, Open Data Explorer is here to help!
Data repositories allow open access to research data, but researchers most of the time need to "download" large datasets and find ways to explore them to understand their content and quality. Open Data Explorer aims to lessen these needs and facilitate rapid exploratory data analysis and visualisation of research data by providing a ready-to-use interactive computing platform where research data is directly available for computing. Each user is provided with a dedicated computing environment based on JupyterLab that supports interactive notebooks and a rich set of data access, analysis, and visualization packages. The platform enables zero waiting time access to a large number of datasets, including popular and newly published datasets on widely-used data repositories such as Zenodo, Figshare, Dataverse, and 4TU.ResearchData. Example exploratory data analysis notebooks tailored according to dataset contents are also automatically generated for each dataset and made available to the users. The session aims to provide in depth information about the platform and its capabilities, and demonstrate how researchers can use this Open Research Infrastructure to quickly access, analyze, and visualize open research datasets. The participants will be able to interact with the platform and gain knowledge by doing on how they can utilize it for their research activities.
Associate Professor at the University of Twente