Description:
This webinar focuses on use cases of DataLabs, a collaborative, cloud-based research platform that provides users with simple access to a consistent and coherent environment in which to share data, analytical methods and big data compute.
Speakers:
Mike Hollaway, Tom August and Michael Tso.
Mike is a Senior Data Scientist at UKCEH and focuses on leading the development and application of novel data science methods to different environmental science challenges. This work utilises virtual labs to bring data scientists, environmental scientists and computer scientists together in one platform to seamlessly collaborate and share data and analytical methods.
Tom has a background in field and lab ecology but has slowly transitioned into a data science role at UKCEH. Tom works at the interface of data science methods, biodiversity research and citizen science. His work covers applications of web technologies, high performance computing, computer vision, autonomous sensing systems and mobile applications.
Michael is an environmental data scientist at UKCEH focusing on using virtual labs to foster collaboration between environmental, computational, and data scientists to address key environmental science challenges.
This event is part of the 'data management and analytical tools for environmental science' webinar series
The NERC Constructing a Digital Environment programme runs an active webinar activity. Held every three weeks, these aim to develop the digitally enabled environment to benefit scientists, policymakers, businesses, communities and individuals. The webinars are arranged into ‘series’, drawing together presentations following similar themes.
The fourth webinar series, led by the NERC Environmental Data Service (NERC EDS) focusses on research data management and the analytical tools available to support researchers in the environmental sciences. This series showcases the services provided by the EDS and illustrates how it supports the open data agenda. The series will describe how tools developed by the EDS enable interoperability, support large-scale data analysis and facilitate multi- and trans-disciplinary research.