PSDI is so much more than a Digital Infrastructure. It’s also about building and connecting with our community. PSDI runs webinars, workshops, community townhalls and training events, we invite you to attend have a look at our upcoming events, look at our past events or check out our event recordings.
This Webinar, presented by Dr. Samantha Pearman-Kanza, explores the sociotechnical challenges of implementing Electronic Lab Notebooks (ELNs) to achieve FAIR (Findable, Accessible, Interoperable, Reusable) data in research labs. Through PSDI, she has evaluated diverse ELN solutions, uncovering key barriers and strategies for success.
This Webinar, presented by Dr. Louise Saul, offers a practical and focused approach to making Open Research more transparent and manageable. Aimed at physical scientists, data managers, research software engineers, and academic librarians, it introduces three simple, actionable changes to embed transparency into research workflows, with real-world examples, habit-forming tips, and space for discussion.
This Webinar, presented by Dr. Samantha Pearman-Kanza, explores the growing importance of data availability and management in modern research. The session will also introduce the emerging role of the Data Steward, a new type of digital Research Technical Professional (dRTP) who ensures data quality and usability throughout its lifecycle. The webinar also unveils CaSDaR (Careers and Skills for data-driven Research), a new four-year initiative designed to support and empower Data Stewards as central figures in the research lifecycle.
This Webinar, presented by Dr Cerys Willoughby, provides an introduction to Open Science. The session will explore the core principles of Open Science, highlighting the role of infrastructures like PSDI in driving progress.
This Webinar explores the fundamental principles of usability and accessibility, emphasizing their vital role in designing effective and user-friendly tools. We'll address the diverse needs of different user groups and how accommodating these needs enhances software usability for everyone. Through this webinar, you'll discover best practices and design guidelines, illustrated with examples of both successful and flawed design practices.
Through the prism of the GREENER principles for environmentally sustainable science, this webinar will discuss what has been learnt so far and what hurdles still exist.
This hybrid seminar will showcase the KnowLedger project that is currently in development. The in person component at the University of Southampton Chemistry and Chemical Engineering Department and the online component through zoom.
This webinar will showcase NOMAD’s applications in material synthesis, characterization, simulations, and AI-driven research, with a focus on solar cells, heterogeneous catalysis, and metal-organic frameworks.
This webinar continues our look at our pathfinder activities in the current phase. The subject of this webinar is pathfinder 6 and will discuss the development of a Magres Database for improving FAIR data in the magres community. This webinar will be presented by Sathya Sai Seetharaman from STFC, Harwell
This webinar continues our look at our pathfinder activities in the current phase. The subject of this webinar is pathfinder 7 and will discuss how their software helps in workflows containing large data sets generated by simulations and experiments at national facilities. This webinar will be presented by Leandro Liborio from STFC, Harwell
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This webinar continues the PSDI webinar series, in this webinar representatives from PSDI Partner the Henry Royce Institute present their Ampletracks sample tracking system. This webinar will be presented by Stavrina Dimosthenous (Henry Royce Institute) and Ben Jefferson. The recording of this webinar is now available on YoutubeAbstract Ampletracks is a configurable web-app built, originally, for sample tracking in and out of laboratory environments. In this talk, we will discuss Ampletracks in brief, and why and how we built Ampletracks. We will demonstrate Ampletracks implemented for a materials science audience. We will demonstrate the ‘User’ workflow, and Ampletracks features across the multiple ways to register a sample record, and intrinsic (like record type) and extrinsic (unlike record type) relationships between records. We will then demonstrate how to set different permission profiles for users, and ‘superuser’ permissions. To finish, we will briefly discuss other domains to apply Ampletracks, and how we use Ampletracks to track the development of Ampletracks.Stavrina Dimosthenous is a Data Curator at the Henry Royce Institute for advanced materials (Royce) in the UK, based at the Royce Hub Building at The University of Manchester. She holds a PhD in Materials Science, and has conducted research in materials science and […]
This webinar continues our look at our pathfinder activities in the current phase. The subject of this webinar is pathfinder 5 which focuses on transforming data to knowledge through the construction of workflows. In particular this looks machine learning for interatomic potentials (MLIP). The recording of this webinar is now available on YoutubeThis webinar will be presented by Alin Elena and Federica Zanca from Science and Technology Facilities Council Daresbury Laboratory. Abstract AI is ubiquitous in all walks of life and research. In the last 5 years active research in the field of understanding how atoms and molecules interact using AI has revolutionised the field. The outcome of these efforts, machine learning interatomic potentials, MLIP, has produced the breakthrough that recommends them as the next paradigm change in atomistic molecular simulations, with applications ranging from battery design to catalytic chemical reaction modelling for hydrogen storage or CO2 capture. All these advances need expensive calculations to be produced and used for training machine learning models. In addition, the models resulting from these models are non-trivial in terms of storage and distribution compared with previous generation interatomic potentials which tended to be analytical. Current models use millions of structures for training, and this […]