Author Archive

Webinar 2: Data standards in chemistry

In this webinar, our panellist will discuss aspects related to developing and implementing standards, as well as showcasing success stories and how these are accepted by the community and further scientific advances. In addition, we will explore how projects can be supported and what structures are in place to work towards sustainable standards.  

Watch the recording!

Webinar Q&A

 

Speakers

Kamil Dziubek, University Assistant, University of Vienna, Austria 

headshot Kamil DzuibekKamil Dziubek is a University Assistant in the Department of Mineralogy and Crystallography at the University of Vienna. Kamil also serves as the IUCr Representative to CODATA and is a member of the IUCr Committee on Data (CommDat), which advises the IUCr on various aspects of crystallographic data, focusing on policy and necessary actions regarding data publishing, the preservation of raw data and its associated metadata, as well as the management of databases and repositories. Besides, CommDat maintains a formal relationship with the IUCr Committee for the Maintenance of the CIF Standard (COMCIFS), which oversees the CIF standard and leads the active development of the CIF specification and related dictionaries.

Talk title: Championing data standards in chemical crystallography with CIF SLIDES

 

Robert Hanson, Professor of Chemistry, Emeritus, St. Olaf College, USA  

headshot of Robert Hanson wearing a bicycle helmet.Robert Hanson, Professor of Chemistry (Emeritus) at St. Olaf College in Northfield, Minnesota, USA, serves as chair of the IUPAC Project Development of a Standard for FAIR Data Management of Spectroscopic Data (IUPAC project page or github page). The objective of this project is to apply FAIR data principles to spectroscopic data in the field of chemistry building on IUPAC’s extensive expertise in this area. Project publications to date include IUPAC specification for the FAIR management of spectroscopic data in chemistry (IUPAC FAIRSpec) – guiding principles and FAIRSpec-Ready Spectroscopic Data Collections – Advice for Researchers, Authors, and Data Managers (IUPAC Technical Report).

Talk title: The IUPAC FAIRSpec Project FAIR Management of Spectroscopic Data in Chemistry SLIDES

 

Wendy Patterson, Scientific Director, Beilstein-Institut, Germany 

 Headshot of Wendy PattersonWendy Patterson is a member of the Board of Management of the Beilstein-Institut where she serves as Scientific Director. She is also a board member of Crossref and the InChI Trust, in addition to other non-profit organizations serving the community.  The Beilstein-Institut supports the scientific community in communicating and disseminating high-quality information in chemistry and related sciences through open science practices. In addition, they support the scientific community by funding educational and cultural projects. The Beilstein-Institut recently established the Beilstein ChemInfo Labs, a project area supporting community-led digital infrastructure and standards projects in chemistry.

Talk title: Chemistry Data Standards supported by the Beilstein-Institut SLIDES

 


Sponsored by

Logo for revvity signalsRevvity Signals Software delivers AI-enhanced solutions to accelerate R&D workflows and enable data-driven innovation. Trusted by pharma and biotech, our portfolio includes ChemDraw®, Signals Notebook, Signals One, Signals Synergy, Signals Clinical, and Spotfire®, empowering scientists with predictive analytics, seamless collaboration, and interactive visualizations for groundbreaking discoveries.

 

Supported by

Logo of NFDI4ChemLogo of the Beilstein Institut Digital Discovery logo  International Union of Crystallography logo


About ChemSpider

Explore more than 128 million structures on the ChemSpider database. Including over 200 data sources, ChemSpider is a valuable source of information for chemical scientists working with data.

Freely accessible and comprehensive, this rich source of structure-based chemistry information is a fundamental resource for chemical scientists working with data everywhere.

Explore ChemSpider

Webinar 1: AI in chemistry

In this webinar, our panellist will speak about their experience with applying and developing AI. We look forward to exploring our speakers best practise tips and how to successfully work across disciplines.

Watch the recording!

 

Speakers

Jacob Al-Saleem, Data Science Manager, CAS, USA 

Headshot of Jacob Al-SaleemDr. Jacob Al-Saleem, a Data Science Manager at CAS, a division of the American Chemical Society, leads a team working to develop novel bioinformatic solutions using artificial intelligence to extract and connect scientific knowledge. He led the data science efforts for a team that developed a heterogeneous knowledge graph-based approach to identify repositionable therapeutics for COVID-19. His knowledge graph work is the foundation for the Life Sciences Knowledge Graph that is featured in CAS BioFinder. Dr. Al-Saleem earned his B.S. in Molecular Genetics and Ph.D. in Molecular Cellular and Developmental Biology from The Ohio State University, where his work focused on the molecular virology of Human T cell Leukemia Viruses.

Talk title: The importance of data quality in scientific AI SLIDES

Birgit (Bea) Braun, Research Fellow, Dow Chemical Company, USA

Bea Braun headshotBirgit (Bea) Braun, Ph.D., is an R&D/TS&D Fellow for Digital Innovation in the Packaging, Specialty Plastics & Hydrocarbons R&D organization at Dow. She has held diverse roles across R&D and M&E, and for more than a decade, Bea has focused on applying Artificial Intelligence and Machine Learning to chemical manufacturing and materials research. She has led the development and deployment of numerous data science solutions across Dow, and today her work centers on unlocking value through holistic digital transformation. Bea earned a Dipl.-Ing. in Process Engineering with a specialization in Industrial Environmental Protection from Montanuniversität Leoben in Austria, she holds an M.S. in Environmental Science & Engineering and a Ph.D. in Chemical Engineering from the Colorado School of Mines.
Talk title: AI in Chemistry – An Industry Perspective SLIDES

Garrison (Gary) Cottrell, Professor for Computer Science and Engineering, University of California San Diego, USA

Gary Cottrell headshotGarrison W. (Gary) Cottrell is a Professor of Computer Science and Engineering at UC San Diego. He co-founded the Perceptual Expertise Network, and directed the Temporal Dynamics of Learning Center, an NSF-sponsored Science of Learning Center spread across four countries. Gary’s research is strongly interdisciplinary. He is interested in Cognitive Science and Computational Cognitive Neuroscience and in applying AI to problems in other areas of science or engineering. Most recently he has been using deep learning to elucidate the structure of small (natural product) molecules from their NMR spectra in collaboration with Bill Gerwick at the Scripps Institute of Oceanography. He received his PhD in 1985 from the University of Rochester and did a postdoc at the Institute of Cognitive Science at UCSD until 1987, when he joined the CSE Department.
Talk title: SPECTRE: A Spectral Transformer for Molecule Identification SLIDES


Sponsored by

Logo for revvity signalsRevvity Signals Software delivers AI-enhanced solutions to accelerate R&D workflows and enable data-driven innovation. Trusted by pharma and biotech, our portfolio includes ChemDraw®, Signals Notebook, Signals One, Signals Synergy, Signals Clinical, and Spotfire®, empowering scientists with predictive analytics, seamless collaboration, and interactive visualizations for groundbreaking discoveries.

Supported by

Logo of NFDI4ChemLogo of the Beilstein Institut Digital Discovery logo  International Union of Crystallography logo


About ChemSpider

Explore more than 128 million structures on the ChemSpider database. Including over 200 data sources, ChemSpider is a valuable source of information for chemical scientists working with data.

Freely accessible and comprehensive, this rich source of structure-based chemistry information is a fundamental resource for chemical scientists working with data everywhere.

Explore ChemSpider

2025 ChemSpider webinars

Helping you embrace digital chemistry data with expert insights

Following a successful pilot in 2023 (watch the recordings here), this autumn ChemSpider and the Royal Society of Chemistry are hosting another miniseries of three free, data-themed webinars.

We will showcase current and planned initiatives to develop standards and tools, research infrastructures, and developing cultures to support FAIR chemistry data preparation, publication, and reuse, and explore what’s needed to evolve a better future using chemistry data. Our speakers will represent the wider chemistry community, with representatives from academia, industry, as well as national and international initiatives.

This year we are looking to cover the following topics:

  • Chemistry data and AI
  • Data standards in chemistry
  • Data management

 

Please check back in with us soon to find out more about the webinars, speakers and topics covered in 2025.

 


About ChemSpider

Explore more than 128 million structures on the ChemSpider database. Including over 200 data sources, ChemSpider is a valuable source of information for chemical scientists working with data.

Freely accessible and comprehensive, this rich source of structure-based chemistry information is a fundamental resource for chemical scientists working with data everywhere.

Explore ChemSpider