Formally published in Nature Scientific Data in 2016, the FAIR Data Principles provide a framework for scientific data management and stewardship. “FAIR” is an acronym for the Findability, Accessibility, Interoperability, and Reusability of data—for both humans and machines. In this Q&A-style blog, Carmen Nitsche (CCDC US general manager who is also active in several InChI and IUPAC data standards initiatives) answers common questions about how the FAIR Data Principles can help solve real-world challenges.
On 14 October, we hosted Dr Peyman Z. Moghadam from The University of Sheffield at our MOFs networking event. He presented his talk, High-throughput Computational Screening for MOF Materials Discovery. He spoke on how the analysis of MOFs data can support and guide the development of novel MOFs to suit specific applications like energy storage, catalysis, and CO2 sequestering. Here, you'll find materials from the event, including a recording of his presentation.
The FAIR Data Principles stand for findability, accessibility, interoperability, and reusability of data for both humans and machines. Here we highlight a few ways CCDC supports the FAIR Data Principles.
Here we highlight a paper by researchers at the University of Liverpool and Università di Siena who used the Cambridge Structural Database (CSD) to identify a set of promising compounds for use in semiconductors and a new tool for discovering materials with electronic properties. This is part of our series highlighting examples of the Cambridge Crystallographic Data Centre (CCDC) tools in action by scientists around the world.
We are pleased to announce the September 2021 data update of the Cambridge Structural Database (CSD) is now available! This data update brings you 16,688 new organic and metal-organic experimentally determined structures (17,283 new entries) and increases the total size of the CSD to over 1,129,000 structures (1,152,000 entries).
It is that time of a year again when things get even busier in the Data Team with our annual summer programme that’s aiming to archive legacy data with the participation of young scientists. In this blog we wanted to highlight the impact this initiative has had on the wealth of structural data you can now access and share some insights from our amazing young scientists.
Here we highlight a recent paper by researchers at UBE Industries and Santen Pharmaceutical Co in which ConQuest helped identify a scaffold with a promising EP2-selective receptor agonist that may lower intraocular pressure (IOP). A prodrug of it was selected as a clinical candidate for the treatment of glaucoma.
This is part of our series highlighting examples of the Cambridge Crystallographic Data Centre (CCDC) tools in action by scientists around the world.
CCDC Founder and crystallographer, Dr Olga Kennard recently received the International Union of Crystallography (IUCr)’s twelfth Ewald Prize for her invaluable contribution to the development of crystallographic databases — specifically the Cambridge Structural Database (CSD). On 14th August, we are delighted that Olga’s achievements will be celebrated in the Ewald Prize Lecture during the IUCr Congress Opening Ceremony.
Molecules that have different molecular packing arrangements despite identical chemical composition are said to be polymorphic. The variety of possible forms, each an allomorph (or polymorph), presents opportunities and challenges in various fields – including the drug industry and agriculture and forestry. In this blog, we talk to United States Department of Agriculture (USDA) Research Scientist Emeritus1 and the Editor-in-Chief of Cellulose, Dr Alfred D. French about his work with cellulose, which has multiple polymorphs (allomorphs).
Here we highlight a paper by researchers at the Material Engineering Division of Toyota Motor Europe and the University of Crete who used CCDC’s metal-organic framework (MOF) collection to investigate how ligand functionalization affects the hydrogen storage profile of MOFs. This is part of our series highlighting examples of the Cambridge Crystallographic Data Centre (CCDC) tools in action by scientists around the world.