webinar register page

Webinar banner
Constructing a Digital Environment Webinar Series
The Constructing a Digital Environment webinar series aims to develop the digitally enabled environment to benefit scientists, policymakers, businesses, communities and individuals.

Our 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. The EDS provides a focal point for NERC’s scientific data and information. It consists of a network of five data centres which curate data from environmental scientists working in the UK and around the world. This series showcases the services provided by the EDS and illustrates how it supports the open data agenda. We will hear how tools developed by the EDS enable interoperability, support large-scale data analysis and facilitate multi- and trans-disciplinary research.

You can catch-up with previous talks from the earlier segments of the webinar series focused on 'Data for Decision Making' and 'Law and Ethics in the Digital Environment' by subscribing to our YouTube channel - https://www.youtube.com/channel/UCv8vRIuTxCP-DgNMCq9KxqA

Please register for each of the webinars separately on this site - by ticking the box next to each date.

For further details on the events and speakers, please see http://digitalenvironment.org/cde-webinar-series
You can choose to attend one or more of the following webinars.

Time shows in
Webinar logo
* Required information


Ag Stephens
14th January 2022 - Overview of JASMIN
As Head of Partnerships at the Centre for Environmental Data Analysis (CEDA) (https://www.ceda.ac.uk), Ag has 20 years of experience in atmospheric and earth observation data management and software development. Ag manages the development of the UK Climate Projections (UKCP18) User Interface and data services and is the lead developer for the CEDA Web Processing Services (WPS). The latter are deployed for CEDA as well as supporting the delivery of large climate model datasets, such as CMIP6, to the Copernicus Climate Change Service (C3S). Working on a long-term secondment at the Met Office, he works closely with colleagues in NERC and the Met Office to explore and foster data-related collaborations.
Gwen Moncoiffe and Alexandra Kokkinaki
4th February 2022 - Introduction to the NERC Vocabulary Server
Gwen Moncoiffe and Alexandra Kokkinaki lead the NERC Vocabulary Server (NVS) at the National Oceanography Centre - British Oceanographic Data Centre (NOC-BODC). Gwen has a 20+ year career in scientific data management at BODC. She is currently co-chair of the Research Data Alliance (RDA) Working Group InteroperAble Descriptions of Observable Property Terminologies (I-ADOPT) developing a semantic framework and best practices to support semantic interoperability within and across domain boundaries. Alexandra has worked on standardisation and interoperability in the medical domain and is technical lead of the NVS and co-chair of the RDA Vocabulary Semantic Services Interest Group (VSSIG) that addresses various aspects of making semantic resources Findable, Accessible, Interoperable and Reusable (FAIR). The NVS is a global resource used to manage controlled vocabularies and semantic relationships between concepts.
Michael Hollaway, Tom August and Michael Tso
25th February 2022 - DataLabs – Tales from the frontline of data science
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 focusing on using virtual labs to foster collaboration between environmental, computational, and data scientists to address key environmental science challenges.